Relevant bibliographies by topics / Green Software

Academic literature on the topic 'Green Software'

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Published: 14 March 2023

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Journal articles on the topic "Green Software"

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Verdecchia, Roberto, Patricia Lago, Christof Ebert, Carol de Vries, and Christof Ebert. "Green IT and Green Software." IEEE Software 38, no. 6 (November 2021): 7–15. http://dx.doi.org/10.1109/ms.2021.3102254.

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Haron, Haryani, Ibraheem Y. Y. Ahmaro, Syed Ahmad Aljunid, and M. Bakri. "Software Reusability in Green Computing." Advanced Science Letters 21, no. 10 (October 1, 2015): 3283–87. http://dx.doi.org/10.1166/asl.2015.6454.

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Sambhanthan, Arunasalam, and Vidyasagar Potdar. "Green Business Practices for Software Development Companies." International Journal of Enterprise Information Systems 11, no. 3 (July 2015): 13–26. http://dx.doi.org/10.4018/ijeis.2015070102.

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This paper reports the findings of a text analysis of the corporate sustainability reports of eleven large scale Indian Software Development Businesses for the period of 2012 to 2014. The results shows that there are twenty two reported components of software development sustainability namely green buildings, green energy, green factory, green data centres, green infrastructure, green initiatives, green innovation, green packaging, green portfolio, green power, green practices, green procurement, green products, green program, green rating, green solutions, green space, green team, green tech and green supply chain which are addressed in the published reports of Indian software development businesses. The reports were further analysed to infer some knowledge on how the software development companies could contribute to green environment and the possible environmental impacts of these contributions. Finally a number of generalised conclusions were derived and followed by a set of implications for best practices in green software development as the outcome of the research reported in this paper.
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Thilmany, Jean. "Green Decisions." Mechanical Engineering 132, no. 03 (March 1, 2010): 40–42. http://dx.doi.org/10.1115/1.2010-mar-4.

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This article discusses the introduction and implementation of environmental regulations in manufacturing industry. Manufacturers are responding to customer demand for environmentally friendly products. Several vendors such as PTC and Siemens PLM Software make products that track environmental performance of products, parts, materials, and suppliers. Many products are integrated with a company’s supply chain and product development systems. IBM offers Environmental Product Lifecycle Management, which includes software and consulting services, and assists clients in analyzing every phase their product passes through to ensure environmental compliance. A number of lifecycle assessment software packages have been released in recent years to help designers. Sustainable Minds develops software, for example, that is intended to give engineers pertinent supplier and material information, which allows them to weigh each design decision from an environmental standpoint. Engineers call upon lifecycle analysis software to ensure their products comply with environmental regulations. Meanwhile, the number of manufacturers who will need to meet those regulations represents a growing market for software makers.
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Calero, Coral, Javier Mancebo, Felix Garcia, Maria Angeles Moraga, Jose Alberto Garcia Berna, Jose Luis Fernandez-Aleman, and Ambrosio Toval. "5Ws of green and sustainable software." Tsinghua Science and Technology 25, no. 3 (June 2020): 401–14. http://dx.doi.org/10.26599/tst.2019.9010006.

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Turkmanovic, Haris, Ivan Popovic, Dejan Drajic, and Zoran Cica. "Green computing for iot - software approach." Facta universitatis - series: Electronics and Energetics 35, no. 4 (2022): 541–55. http://dx.doi.org/10.2298/fuee2204541t.

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More efficient usage of limited energy resources on embedded platforms, found in various IoT applications, is identified as a universal challenge in designing such devices and systems. Although many power management techniques for control and optimization of device power consumption have been introduced at the hardware and software level, only few of them are addressing device operation at the application level. In this paper, a software engineering approach for managing the operation of IoT edge devices is presented. This approach involves a set of the application-level software parameters that affect consumption of the IoT device and its real-time behavior. To investigate and illustrate the impact of the introduced parameters on the device performance and its energy footprint, we utilize a custom-built simulation environment. The simulation results obtained from analyzing simplified data producer-consumer configuration of IoT edge tier, under push-based communication model, confirm that careful tuning of the identified set of parameters can lead to more energy efficient IoT end-device operation.
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Et.al, SitiRohana Ahmad Ibrahim. "Green Software Process Assessment: The Theoretical Framework." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 10, 2021): 2011–16. http://dx.doi.org/10.17762/turcomat.v12i3.1039.

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Many differentdomains such as engineering, education and health apply green development through sustainability concept.The aim is to ensure the product and services are still relevance and applicable for the next generation. Previously, they were three common pillars of sustainability elements which were economic, social, and environmental. The technical and individual elements were added later to evaluate the software system. Yet, effortsare made to achieve green development process by reducing wastes and to preserve the environment.Most studies targeted on greenness of software products and less consideration on green in software processes. In this study, focus is given to ensure and guarantee green in software process activities. This paper presents the background works on existing studies in green software process and related. Further, it presents the theoretical framework that is based on literature findings and will be the groundwork of this study. The theoretical frameworkdefined consists of software process, green context, and assessment method. The elements of sustainability and waste reduction will be identified further.
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Ahmad Ibrahim, Siti Rohana, Jamaiah Yahaya, and Hasimi Sallehudin. "Green Software Process Factors: A Qualitative Study." Sustainability 14, no. 18 (September 7, 2022): 11180. http://dx.doi.org/10.3390/su141811180.

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In the twenty-first century, the use of software is growing due to many applications requiring large and complex software. Many people do not realise that the use of software has influenced the operation of computer hardware to move indirectly as it affects the hardware’s energy consumption and carbon emissions. Previous studies focused more on models and tools to measure the impact of power consumption and energy efficiency from hardware than on software development studies. Energy consumption can be optimised by the greening software process throughout all phases of development activity. Besides, the current green software process models are more focused on environmental and economic elements and do not integrate with the waste elements in the development phase. Integrating sustainability and waste elements is essential to ensure that the development process complies with green process standards. A qualitative method is used through interviews involving eight informants from Malaysia’s public and private sectors. The objectives of the empirical study are to reveal the current practices of the green software process in industry, identify software process waste and determine green factors associated with the software process. The analysis is guided by a thematic approach using Atlas.ti 8 software. This paper describes the results from the qualitative study that consists of three main themes: best practices of a software process, nine software wastes (building the wrong feature, rework, unnecessarily complex solutions, extraneous cognitive load, psychological distress, waiting, knowledge loss, ineffective communication, delay), and six green factors (resources, people, organisational, technical, environmental, technology). The analysis findings indicate that the software industry needs elements of best practices, green practices, and software technologies in each development phase to produce a green and sustainable software process. The advancement of computing today presents technology as an essential factor in green elements to ensure that the software process is constantly updated and always green.
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Lago, Patricia, Rick Kazman, Niklaus Meyer, Maurizio Morisio, Hausi A. Müller, and Frances Paulisch. "Exploring initial challenges for green software engineering." ACM SIGSOFT Software Engineering Notes 38, no. 1 (January 23, 2013): 31–33. http://dx.doi.org/10.1145/2413038.2413062.

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Sierszecki, Krzysztof, Tommi Mikkonen, Michaela Steffens, Thomas Fogdal, and Juha Savolainen. "Green Software: Greening What and How Much?" IEEE Software 31, no. 3 (May 2014): 64–68. http://dx.doi.org/10.1109/ms.2014.63.

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Dissertations / Theses on the topic "Green Software"

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Acar, Hayri. "Software development methodology in a Green IT environment." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE1256/document.

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Le nombre de périphériques mobiles (smartphone, tablette, ordinateur portable, etc.) et les internautes augmentent continuellement. En raison de l'accessibilité du cloud computing, de l'Internet et de l'Internet des Objets (IdO), les utilisateurs utilisent de plus en plus d'applications logicielles qui provoquent un effet croissant sur les émissions de gaz à effet de serre. Ainsi, les TIC (Technologies de l'Information et de la Communication) sont responsables d'environ 2% des émissions mondiales de gaz à effet de serre qui sont équivalentes à celles émises par l'industrie aérienne. Selon des rapports récents, le Groupe d'experts Intergouvernemental sur l'Evolution du Climat (GIEC), les émissions de CO2 dus aux TIC augmentent rapidement. Néanmoins, les TIC, en permettant de résoudre des problèmes complexes dans d'autres secteurs, peuvent grandement et facilement participer pour réduire une partie importante des 98% restants des émissions mondiales de CO2. L'utilisation du logiciel implique des opérations matérielles qui sont physiquement responsables de la consommation d'énergie. Par conséquent, le logiciel est indirectement impliqué dans la consommation d'énergie. Ainsi, nous devons réduire la consommation d'énergie du logiciel tout en conservant les mêmes fonctionnalités pour le logiciel afin de créer des logiciels durables et verts. Premièrement, dans ce travail de thèse, nous définissons les termes «durable et vert» dans le domaine du logiciel afin de créer des logiciels respectant les critères de ces termes. Pour créer un produit logiciel, nous devons suivre un processus d'ingénierie logicielle. Par conséquent, nous décrivons des critères durables et verts à respecter après chaque étape de ce processus afin d'établir un processus d'ingénierie logicielle durable et écologique. En particulier, nous nous concentrons sur l'estimation de la consommation d'énergie du logiciel. De nombreux travaux ont essayé de proposer divers outils pour estimer la consommation d'énergie due aux logiciels afin de réduire l'empreinte carbone. Pendant longtemps, les solutions proposées se sont concentrées uniquement sur la conception du matériel, mais ces dernières années, les aspects logiciels sont également devenus importants. Malheureusement, ces études, dans la plupart des cas, ne considèrent que le CPU et négligent tous les autres composants. Les modèles de consommation d'énergie existants doivent être améliorés en tenant compte de plus de composants susceptibles de consommer de l'énergie pendant l'exécution d'une application. L'écriture d'un logiciel durable, performant et vert nécessite de comprendre le comportement de consommation d'énergie d'un programme informatique. L'un des avantages est que les développeurs, en améliorant leurs implémentations du code source, optimiseront la consommation d'énergie du logiciel. De plus, il existe un manque d'outil d'analyse pour surveiller dynamiquement la consommation d'énergie du code source de plusieurs composants. Ainsi, nous proposons GMTEEC (Méthodologie Générique d'Outil pour Estimer la Consommation Energétique) qui se compose de quatre couches aidant et guidant la construction d'un outil permettant d'estimer la consommation énergétique d'un logiciel. Ainsi, dans notre travail, en respectant les couches de GMTEEC, nous créons TEEC (Outil pour Estimer la Consommation Energétique) qui repose sur une formule mathématique établie pour chaque composant (CPU, mémoire, disque dur, réseau) susceptible de consommer de l'énergie afin d'estimer la consommation totale d'énergie du logiciel composée de la somme de chaque consommation d'énergie par composant. De plus, nous ajoutons à TEEC la capacité de localiser dynamiquement les points chauds qui sont les parties du code source consommant la plus grande quantité d'énergie afin d'aider et guider les développeurs à optimiser leur code source et à créer des logiciels efficaces, durables et verts... [etc]
The number of mobile devices (smartphone, tablet, laptop, etc.) and Internet users are continually increasing. Due to the accessibility provided by cloud computing, Internet and Internet of Things (IoT), users use more and more software applications which cause an increasing effect on gas emission. Thus, ICT (Information and Communication Technologies) is responsible of around 2% worldwide greenhouse gas emissions which is equivalent of that emitted by the airline industry. According to recent reports, the Intergovernmental Panel on Climate Change (IPCC), CO2 emissions due to ICT are increasing widely. Nevertheless, ICT, in allowing to solve complex problems in other sectors, can greatly and easily participate to reduce significant portion of the remaining 98% of global CO2 emissions. The use of software implies hardware operations which are physically responsible of energy consumption. Consequently, software is indirectly involved in the energy consumption. Thus, we need to reduce software energy consumption while maintaining the same functionalities for the software in order to build sustainable and green software. Firstly, in this thesis work, we define the terms sustainable and green in the area of software development. To build a software product, we need to follow a software engineering process. Hence, we define and describe sustainable and green criteria to be respected after each step of this process in order to establish a sustainable and green software engineering process. Then, we focus on the software energy consumption estimation. Many research works tried to propose various tools to estimate the energy consumption due to software in order to reduce carbon footprint. Unfortunately, these studies, in the majority of cases, consider only the CPU and neglects all others components. Existing power consumption methodologies need to be improved by taking into account more components susceptible to consume energy during runtime of an application. Writing sustainable, power efficient and green software necessitates to understand the power consumption behavior of a computer program. One of the benefits is the fact that developers, by improving their source code implementations, will optimize software power consumption. Moreover, there is a lack of analyzing tool to dynamically monitor source code energy consumption of several components. Thus, we propose GMTEEC (Generic Methodology of a Tool to Estimate Energy Consumption) which is composed of four layers assisting developers to build a tool estimating the software power consumption. Hence, in our work, respecting the layers of GMTEEC, we develop TEEC (Tool to Estimate Energy Consumption) which is based on mathematical formula established for each component (CPU, memory, hard disk, network) in order to estimate the total software energy consumption. Moreover, we add in TEEC the capacity to locate dynamically the hotpoints which are the parts of source code consuming the greater amount of energy in order to help and guide developers to optimize their source code and build efficient, sustainable and green software. We performed a variety of experiments to validate the accuracy and quality of the sustainable and green software engineering process and TEEC. The results demonstrate the possibility to save significant quantity of energy and time at limited costs with an important positive impact on environment
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Hiryanto, Lely. "Multi-Stage Network Upgrade for Green Software Defined Networking." Thesis, Curtin University, 2022. http://hdl.handle.net/20.500.11937/88898.

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This thesis addresses three versions of a novel problem, called Green Multi-Stage Upgrade (GMSU), to upgrade legacy networks to Software Defined Networks (SDNs). The three versions, namely GMSU-1, GMSU-2, and GMSU-3, consider legacy networks that support IEEE 802.1AX, where each link contains multiple cables. Each version aims to replace a set of legacy-switches with SDN-switches over multiple stages. The aim is to maximally turn off unused cables adjacent to SDN-switches to save energy.
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Crute, Stephen John. "Computer simulations of green spruce aphid populations." Thesis, University of Ulster, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.281228.

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Silva, Dina Raquel Rodrigues Retroz e. "Gestão de projeto de software: caso de estudo green na IUZ Technologies." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/10853.

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Mestrado em Gestão
Este documento relata o processo de estágio efetuado na iUZ Technologies entre Setembro de 2011 e Maio de 2012, onde a autora colaborou num processo de desenvolvimento de uma aplicação elaborada para um cliente da empresa de acolhimento. Durante este trabalho, para além da gestão do projeto em causa, a autora envolveu-se no desenvolvimento do sistema de informação subjacente, desde o desenho dos requisitos até à validação e teste das aplicações desenvolvidas. Para efetuar o trabalho foi necessário recorrer a múltiplas técnicas de planeamento e gestão de projeto, sendo efetuado neste relatório de estágio uma análise do estado da arte nesta área do conhecimento em termos de metodologias, que depois é confrontada com a realidade prática do dia-a-dia empresarial. Para além disso, é também efetuada uma análise de metodologias de desenvolvimento e teste de sistemas de informação, sendo descrito o processo de desenvolvimento das aplicações com base em user stories e em metodologias ágeis de desenvolvimento de software.
This document describes the traineeship process in iUZ Technologies between September 2011 and May 2012, where the author developed an application for a customer in the host company. During this work, in addition to the management of project involved, the author became involved in the development of the underlying information system from the design of requirements until the validation and testing of applications developed. To perform this work it was necessary to use multiple techniques for planning and project management, described in this report including an analysis of the state of the art in this area of knowledge in terms of methodologies, which is then faced with practical reality of day-to-day business. In addition, it was also carried out an analysis of methodologies of development and testing of information systems, and described the process of developing applications based on user stories and in agile methodologies of software development.
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Sapountzis, Ioannis. "Traffic Monitoring for Green Networking." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147981.

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The notion of the networked society is more than ever true nowadays. The Internet has a big impact on our daily lives. Network operators provide the underlying infrastructure and continuously deploy services in order to meet customer demands. The amount of data transported through operator networks is also increasing with the introduction of new high band width services and over the network content. That being said, operators, most often deploy or operate networks to meet these demands without any regard to energy-efficiency. As the price of electricity continues to grow,  tends to become a problem with serious implications. To solve this problem a trend towards more energy efficient networks has emerged. In this thesis, we investigate a way to facilitate the introduction of new energy efficiency paradigms for fixed networks. Towards this end, we investigate the energy efficiency schemes proposed up to now and select one that we believe is more realistic to deploy. Furthermore, we specify the inputs required for the selected “green” routing approach. Moreover, we study existing and new protocols that can provide basic network monitoring functionality that enables the acquirement of these inputs. In the end, a Software Defined Networking (SDN) approach is proposed to facilitate the development of energy-efficient aware networks. The details of a basic SDN monitoring application are presented from an abstract architectural point of view and three designs stemming from this basic architecture are discussed. The three designs are namely All_Flow, First_Switch and Port_FlowRemoved. The first two were implemented as steps towards understanding the full capabilities of performing monitoring in SDN enabled networks and provided useful input towards realizing the third one as a proof of concept. Their usage and faults are discussed as they can provide useful insight for possible future implementations. The Port_FlowRemoved is the design and implementation that is suggested as providing the most fitting results for the monitoring purpose at hand. This purpose is to retrieve the identified inputs for the selected “green” networking approach. The differentiation factor among the three designs is how they collect the required inputs from the network. A fast-prototype is created as a proof of concept in order to validate the proposed architecture and thus empower the validity of the idea.
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Demir, Emrah, Martin Hrusovsky, Werner Jammernegg, and Woensel Tom Van. "Green intermodal freight transportation: bi-objective modelling and analysis." Taylor & Francis, 2019. http://epub.wu.ac.at/6990/1/00207543.2019.pdf.

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Efficient planning of freight transportation requires a comprehensive look at wide range of factors in the operation and man- agement of any transportation mode to achieve safe, fast, and environmentally suitable movement of goods. In this regard, a combination of transportation modes offers flexible and environmentally friendly alternatives to transport high volumes of goods over long distances. In order to reflect the advantages of each transportation mode, it is the challenge to develop models and algorithms in Transport Management System software packages. This paper discusses the principles of green logistics required in designing such models and algorithms which truly represent multiple modes and their characteristics. Thus, this research provides a unique practical contribution to green logistics literature by advancing our understanding of the multi-objective planning in intermodal freight transportation. Analysis based on a case study from hinterland intermodal transportation in Europe is therefore intended to make contributions to the literature about the potential benefits from com bining economic and environmental criteria in transportation planning. An insight derived from the experiments conducted shows that there is no need to greatly compromise on transportation costs in order to achieve a significant reduction in carbon-related emissions.
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Chinenyeze, Samuel Jaachimma. "Mango : a model-driven approach to engineering green Mobile Cloud Applications." Thesis, Edinburgh Napier University, 2017. http://researchrepository.napier.ac.uk/Output/976572.

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With the resource constrained nature of mobile devices and the resource abundant offerings of the cloud, several promising optimisation techniques have been proposed by the green computing research community. Prominent techniques and unique methods have been developed to offload resource/computation intensive tasks from mobile devices to the cloud. Most of the existing offloading techniques can only be applied to legacy mobile applications as they are motivated by existing systems. Consequently, they are realised with custom runtimes which incur overhead on the application. Moreover, existing approaches which can be applied to the software development phase, are difficult to implement (based on manual process) and also fall short of overall (mobile to cloud) efficiency in software qualityattributes or awareness of full-tier (mobile to cloud) implications. To address the above issues, the thesis proposes a model-driven architecturefor integration of software quality with green optimisation in Mobile Cloud Applications (MCAs), abbreviated as Mango architecture. The core aim of the architecture is to present an approach which easily integrates software quality attributes (SQAs) with the green optimisation objective of Mobile Cloud Computing (MCC). Also, as MCA is an application domain which spans through the mobile and cloud tiers; the Mango architecture, therefore, takesinto account the specification of SQAs across the mobile and cloud tiers, for overall efficiency. Furthermore, as a model-driven architecture, models can be built for computation intensive tasks and their SQAs, which in turn drives the development – for development efficiency. Thus, a modelling framework (called Mosaic) and a full-tier test framework (called Beftigre) were proposed to automate the architecture derivation and demonstrate the efficiency of Mango approach. By use of real world scenarios/applications, Mango has been demonstrated to enhance the MCA development process while achieving overall efficiency in terms of SQAs (including mobile performance and energy usage compared to existing counterparts).
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Carpa, Radu. "Energy Efficient Traffic Engineering in Software Defined Networks." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEN065/document.

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Ce travail a pour but d'améliorer l'efficacité énergétique des réseaux de cœur en éteignant un sous-ensemble de liens par une approche SDN (Software Defined Network). Nous nous différencions des nombreux travaux de ce domaine par une réactivité accrue aux variations des conditions réseaux. Cela a été rendu possible grâce à une complexité calculatoire réduite et une attention particulière au surcoût induit par les échanges de données. Pour valider les solutions proposées, nous les avons testées sur une plateforme spécialement construite à cet effet.Dans la première partie de cette thèse, nous présentons l'architecture logicielle ``SegmenT Routing based Energy Efficient Traffic Engineering'' (STREETE). Le cœur de la solution repose sur un re-routage dynamique du trafic en fonction de la charge du réseau dans le but d'éteindre certains liens peu utilisés. Cette solution utilise des algorithmes de graphes dynamiques pour réduire la complexité calculatoire et atteindre des temps de calcul de l'ordre des millisecondes sur un réseau de 50 nœuds. Nos solutions ont aussi été validées sur une plateforme de test comprenant le contrôleur SDN ONOS et des commutateurs OpenFlow. Nous comparons nos algorithmes aux solutions optimales obtenues grâce à des techniques de programmation linéaires en nombres entiers et montrons que le nombre de liens allumés peut être efficacement réduit pour diminuer la consommation électrique tout en évitant de surcharger le réseau.Dans la deuxième partie de cette thèse, nous cherchons à améliorer la performance de STREETE dans le cas d’une forte charge, qui ne peut pas être écoulée par le réseau si des algorithmes de routages à plus courts chemins sont utilisés. Nous analysons des méthodes d'équilibrage de charge pour obtenir un placement presque optimal des flux dans le réseau.Dans la dernière partie, nous évaluons la combinaison des deux techniques proposées précédemment : STREETE avec équilibrage de charge. Ensuite, nous utilisons notre plateforme de test pour analyser l'impact de re-routages fréquents sur les flux TCP. Cela nous permet de donner des indications sur des améliorations à prendre en compte afin d'éviter des instabilités causées par des basculements incontrôlés des flux réseau entre des chemins alternatifs. Nous croyons à l'importance de fournir des résultats reproductibles à la communauté scientifique. Ainsi, une grande partie des résultats présentés dans cette thèse peuvent être facilement reproduits à l'aide des instructions et logiciels fournis
This work seeks to improve the energy efficiency of backbone networks by automatically managing the paths of network flows to reduce the over-provisioning. Compared to numerous works in this field, we stand out by focusing on low computational complexity and smooth deployment of the proposed solution in the context of Software Defined Networks (SDN). To ensure that we meet these requirements, we validate the proposed solutions on a network testbed built for this purpose. Moreover, we believe that it is indispensable for the research community in computer science to improve the reproducibility of experiments. Thus, one can reproduce most of the results presented in this thesis by following a couple of simple steps. In the first part of this thesis, we present a framework for putting links and line cards into sleep mode during off-peak periods and rapidly bringing them back on when more network capacity is needed. The solution, which we term ``SegmenT Routing based Energy Efficient Traffic Engineering'' (STREETE), was implemented using state-of-art dynamic graph algorithms. STREETE achieves execution times of tens of milliseconds on a 50-node network. The approach was also validated on a testbed using the ONOS SDN controller along with OpenFlow switches. We compared our algorithm against optimal solutions obtained via a Mixed Integer Linear Programming (MILP) model to demonstrate that it can effectively prevent network congestion, avoid turning-on unneeded links, and provide excellent energy-efficiency. The second part of this thesis studies solutions for maximizing the utilization of existing components to extend the STREETE framework to workloads that are not very well handled by its original form. This includes the high network loads that cannot be routed through the network without a fine-grained management of the flows. In this part, we diverge from the shortest path routing, which is traditionally used in computer networks, and perform a particular load balancing of the network flows. In the last part of this thesis, we combine STREETE with the proposed load balancing technique and evaluate the performance of this combination both regarding turned-off links and in its ability to keep the network out of congestion. After that, we use our network testbed to evaluate the impact of our solutions on the TCP flows and provide an intuition about the additional constraints that must be considered to avoid instabilities due to traffic oscillations between multiple paths
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Warth, Benedikt. "Design and Application of Software Sensors in Batch and Fed-batch Cultivations during Recombinant Protein Expression in Escherichia coli." Thesis, Linköping University, The Department of Physics, Chemistry and Biology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-12530.

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Software sensors are a potent tool to improve biotechnological real time process monitoring and control. In the current project, algorithms for six partly novel, software sensors were established and tested in a microbial reactor system. Eight batch and two fed-batch runs were carried out with a recombinant Escherichia coli to investigate the suitability of the different software sensor models in diverse cultivation stages. Special respect was given to effects on the sensors after recombinant protein expression was initiated by addition of an inducer molecule. It was an objective to figure out influences of excessive recombinant protein expression on the software sensor signals.

Two of the developed algorithms calculated the biomass on-line and estimated furthermore, the specific growth rate by integration of the biomass changes with the time. The principle of the first was the application of a near infrared probe to obtain on-line readings of the optical density. The other algorithm was founded on the titration of ammonia as only available nitrogen source. The other two sensors analyzed for the specific consumption of glucose and the specific production of acetate and are predicted on an in-line HPLC system.

The results showed that all software sensors worked as expected and are rather powerful to estimate important state parameters in real time. In some stages, restrictions may occur due to different limitation affects in the models or the physiology of the culture. However, the results were very convincing and suggested the development of further and more advanced software sensor models in the future.

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Birol, Kemal Ozgen. "Design And Analysis Of Energy Saving Buildings Using The Software Energy Plus." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614653/index.pdf.

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Being the major energy consumer of electricity and natural gas, buildings consume more than 70% of electricity and 30% of natural gas. On the way to green buildings and zero energy buildings, investigation and improvement of energy efficiency of the buildings will result in significant reductions in energy demands and CO2 emissions
make cost savings and improve thermal comfort as well. Key steps of a successful green, energy efficient building can be summarized as whole building design, site design, building envelope design, lighting and day lighting design and HVAC system design. Energy Plus®
software is mainly developed to simulate the performance of the buildings in the view of the above listed points. The design of a building or the analysis of an existing building with the software will show how efficient the building is or will be, and also helps finding the best efficient choice of the whole building system. Thesis focuses on the effect of changes in building envelope properties. In Turkey, topic of green buildings has recently started to be studied. Therefore, this thesis aims to present efficient technologies providing energy savings in buildings, to present green building concept and alternative energy simulation software. In the context of this study, design, methods and material guidelines are introduced to reduce energy needs of buildings and to bring in the green building design concept. Building and system parameters to enhance building energy efficiency and energy savings together with green building principles are summarized. Moreover, whole building energy analysis methods and simulation steps are explained
year-round simulation is performed for a sample building
as a result, energy savings about 36% is achieved.
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Books on the topic "Green Software"

1

Calero, Coral, and Mario Piattini, eds. Green in Software Engineering. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08581-4.

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Liu, Xiaodong, and Yang Li. Green services engineering, optimization, and modeling in the technological age. Hershey, PA: Information Science Reference, 2015.

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Doane, Michael. The SAP green book: A business guide for effectively managing the SAP lifecycle. Bonn: Galileo Press, 2012.

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Doane, Michael. The SAP green book: A business guide for effectively managing the SAP lifecycle. Bonn: Galileo Press, 2012.

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Perre, Liesbet van der. Green software defined radios: Enabling seamless connectivity while saving on hardware and energy. [Dordrecht]: Springer, 2009.

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Watson, Jack. Green screen glamour photography made easy: How to create beautiful composite glamour images using green screen technology with CD-ROM & software. Ocala, Fla: Atlantic Pub. Group, 2011.

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Modern mechanics: Maintaining tomorrow's green vehicles. Broomall, Pa: Mason Crest Publishers, 2011.

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Six Sigma for powerful improvement: A green belt DMAIC training system with software tools and a 25-lesson course. Boca Raton: CRC Press, Taylor & Francis Group, 2013.

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Cho, Hyun-seob. Green and Smart Technology with Sensor Applications: International Conferences, GST and SIA 2012, Jeju Island, Korea, November 28-December 2, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Kranzlmüller, Dieter. Information and Communication on Technology for the Fight against Global Warming: First International Conference, ICT-GLOW 2011, Toulouse, France, August 30-31, 2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Book chapters on the topic "Green Software"

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Steigerwald, Bob, and Abhishek Agrawal. "Green Software." In Harnessing Green It, 39–62. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118305393.ch3.

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Moraga, Mª Ángeles, and Manuel F. Bertoa. "Green Software Measurement." In Green in Software Engineering, 261–82. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08581-4_11.

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de Guzmán, Ignacio García-Rodríguez, Mario Piattini, and Ricardo Pérez-Castillo. "Green Software Maintenance." In Green in Software Engineering, 205–29. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08581-4_9.

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Calero, Coral, Mª Ángeles Moraga, Manuel F. Bertoa, and Leticia Duboc. "Green Software and Software Quality." In Green in Software Engineering, 231–60. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08581-4_10.

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Albertao, Felipe. "Sustainable Software Development." In Harnessing Green It, 63–83. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118305393.ch4.

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Chinenyeze, Samuel Jaachimma, and Xiaodong Liu. "Architecting Green Mobile Cloud Apps." In Software Sustainability, 183–214. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69970-3_8.

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Mancebo, Javier, Coral Calero, and Félix García. "GSMP: Green Software Measurement Process." In Software Sustainability, 43–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69970-3_3.

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Raturi, Ankita, Bill Tomlinson, and Debra Richardson. "Green Software Engineering Environments." In Green in Software Engineering, 31–59. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08581-4_2.

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Taina, Juha, and Simo Mäkinen. "Green Software Quality Factors." In Green in Software Engineering, 129–54. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08581-4_6.

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Polo, Macario. "Towards Green Software Testing." In Green in Software Engineering, 187–204. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08581-4_8.

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Conference papers on the topic "Green Software"

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Zinov'eva, P., and Olga Pecherskaya. "SOFTWARE FOR LOGISTICS PROCESSES." In GREEN ECONOMY: IFOREST. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2022. http://dx.doi.org/10.34220/zeif2022_29-33.

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The article presents the main components of logistics, emphasizes the importance of information support in logistics management, lists the advantages of using information systems in the work of specialists managing material flows. The importance of the development of information and computer technologies, which has a direct impact on the information component of logistics, is noted. The levels of automation in logistics warehouses and their characteristics are considered. The popular software used in the management of logistics processes in the territory of the Russian Federation, with their purpose, is listed.
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Dick, Markus, Jakob Drangmeister, Eva Kern, and Stefan Naumann. "Green software engineering with agile methods." In 2013 2nd International Workshop on Green and Sustainable Software (GREENS 2013). IEEE, 2013. http://dx.doi.org/10.1109/greens.2013.6606425.

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Georgiou, Stefanos, Maria Kechagia, Tushar Sharma, Federica Sarro, and Ying Zou. "Green AI." In ICSE '22: 44th International Conference on Software Engineering. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3510003.3510221.

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Moshnyaga, Vasily G. "Want to green application software?" In the 2013 workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2451605.2451607.

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Dustdar, Schahram, Fei Li, Hong-Linh Truong, Sanjin Sehic, Stefan Nastic, Soheil Qanbari, Michael Vogler, and Markus Claesens. "Green software services: From requirements to business models." In 2013 2nd International Workshop on Green and Sustainable Software (GREENS). IEEE, 2013. http://dx.doi.org/10.1109/greens.2013.6606415.

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Lago, Patricia, Niklaus Meyer, Maurizio Morisio, Hausi A. Muller, and Giuseppe Scanniello. "2nd International workshop on green and sustainable software (GREENS 2013)." In 2013 35th International Conference on Software Engineering (ICSE). IEEE, 2013. http://dx.doi.org/10.1109/icse.2013.6606768.

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Morisio, Maurizio, Patricia Lago, Niklaus Meyer, Hausi A. Muller, and Giuseppe Scanniello. "4th International Workshop on Green and Sustainable Software (GREENS 2015)." In 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE). IEEE, 2015. http://dx.doi.org/10.1109/icse.2015.315.

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Marimuthu, C., and K. Chandrasekaran. "Software Engineering Aspects of Green and Sustainable Software." In ISEC '17: Innovations in Software Engineering Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3021460.3021464.

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Gu, Yan, Verdi March, and Bu Sung Lee. "GMoCA: Green mobile cloud applications." In 2012 First International Workshop on Green and Sustainable Software (GREENS). IEEE, 2012. http://dx.doi.org/10.1109/greens.2012.6224265.

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Gotz, Sebastian, Claas Wilke, Sebastian Richly, and Uwe Abmann. "Approximating quality contracts for energy auto-tuning software." In 2012 First International Workshop on Green and Sustainable Software (GREENS). IEEE, 2012. http://dx.doi.org/10.1109/greens.2012.6224264.

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Reports on the topic "Green Software"

1

VISTA RESEARCH CORP TUCSON AZ. Ada Compiler Validation Summary Report: Certificate Number: 940223W1. 11338 Green Hills Software, Inc. Green Hills Optimizing Ada Compiler, 1.8.7 SPARCstation 10 under SunOS, Release 4.1.3. Fort Belvoir, VA: Defense Technical Information Center, February 1994. http://dx.doi.org/10.21236/ada278081.

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Wada, Yasutaka. Working Paper PUEAA No. 3. Parallel Processing and Parallelizing Compilation Techniques for "Green Computing". Universidad Nacional Autónoma de México, Programa Universitario de Estudios sobre Asia y África, 2022. http://dx.doi.org/10.22201/pueaa.001r.2022.

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The fourth technological revolution has brought great advances in manufacturing processes and human communications. Although processors have become increasingly efficient, both in speed, capacity and energy consumption, their functionality regarding this last point has yet to improve. The latest innovations represent an opportunity to create "green computing" and not only more environmentally friendly electronics and software, but also to use their new efficiency to improve our daily activities, as well as the designs of our cities themselves to make them more environmentally sustainable. These new computerized systems must also be applied in accordance with the socioeconomic factors that must be taken into account in order to be modified in favor of sustainability and efficiency.
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Corum, Zachary, Ethan Cheng, Stanford Gibson, and Travis Dahl. Optimization of reach-scale gravel nourishment on the Green River below Howard Hanson Dam, King County, Washington. Engineer Research and Development Center (U.S.), April 2022. http://dx.doi.org/10.21079/11681/43887.

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The US Army Corps of Engineers, Seattle District, nourishes gravel downstream of Howard Hanson Dam (HHD) on the Green River in Washington State. The study team developed numerical models to support the ongoing salmonid habitat improvement mission downstream of HHD. Recent advancements in computing and numerical modeling software make long-term simulations in steep, gravel, cobble, and boulder river environments cost effective. The team calibrated mobile-bed, sediment-transport models for the pre-dam and post-dam periods. The modeling explored geomorphic responses to flow and sediment regime changes associated with HHD construction and operation. The team found that pre-dam conditions were significantly more dynamic than post-dam conditions and may have had lower spawning habitat quality in the project vicinity. The team applied the Bank Stability and Toe Erosion Model to the site and then calibrated to the post-dam gravel augmentation period. The team implemented a new hiding routine in HEC-RAS that improved the simulated grain size trends but underestimated coarse sediment transport. Models without the hiding function overestimated grain size but matched bed elevations and mass flux very well. Decade-long simulations of four future gravel nourishment conditions showed continued sediment storage in the reach. The storage rate was sensitive to nourishment mass and grain size.
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Priadko, Andrii O., Kateryna P. Osadcha, Vladyslav S. Kruhlyk, and Volodymyr A. Rakovych. Development of a chatbot for informing students of the schedule. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3744.

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The article describes the process of developing a chatbot to provide students with information about schedules using the Telegram mobile messenger. During the research, the following tasks have been performed: the analysis of notification systems for their use in the educational process, identification of problems of notifying students about the schedule (dynamic environment, traditional presentation of information, lack of round-the-clock access), substantiation of the choice of mobile technologies and Telegram messenger, determination of the requirements to the software, generalization of the chatbot functioning features, description of the structure, functionality of the program to get information about the schedule using a chatbot. The following tasks have been programmatically implemented: obtaining data from several pages of a spreadsheet (faculty / institute, red / green week, group number, day of the week, period number, discipline name, information about the teacher); presentation of data in a convenient form for the messenger (XML); implementation of the mechanism of convenient presentation of data in the messenger (chatbot). Using Python and the Telegram API, the software has been designed to increase students; immediacy in getting the information about the schedules, minimizing the time spent, and optimizing of planning of student activities and higher education institution functioning.
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