Bibliographies thématiques / Large-scale infrastructures / Articles de revues

Articles de revues sur le sujet « Large-scale infrastructures »

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Auteur : Grafiati
Publié le 25 mai 2024

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1

Lui, P. C., et T. S. Tan. « Building Integrated Large-Scale Urban Infrastructures : Singapore's Experience ». Journal of Urban Technology 8, no 1 (avril 2001) : 49–68. http://dx.doi.org/10.1080/10630730120052172.

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Marian, BABIK, FEDORKO Ivan, HOOK Nicholas, LANSDALE Thomas Hector, LENKES Daniel, SIKET Miroslav et WALDRON Denis. « LEMON - LHC Era Monitoring for Large-Scale Infrastructures ». Journal of Physics : Conference Series 331, no 5 (23 décembre 2011) : 052025. http://dx.doi.org/10.1088/1742-6596/331/5/052025.

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Filelis-Papadopoulos, Christos K., George A. Gravvanis et Panagiotis E. Kyziropoulos. « A framework for simulating large scale cloud infrastructures ». Future Generation Computer Systems 79 (février 2018) : 703–14. http://dx.doi.org/10.1016/j.future.2017.06.017.

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Rammelt, Crelis. « Infrastructures as Catalysts : Precipitating Uneven Patterns of Development from Large-Scale Infrastructure Investments ». Sustainability 10, no 4 (22 avril 2018) : 1286. http://dx.doi.org/10.3390/su10041286.

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Lan, Cheng Ming, et Wen Feng Liu. « Structural Health Monitoring Cloud and its Applications for Large-Scale Infrastructures ». Applied Mechanics and Materials 330 (juin 2013) : 418–25. http://dx.doi.org/10.4028/www.scientific.net/amm.330.418.

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The concept and framework about Structural Health Monitoring Cloud (SHMC) for data management, data storage, safety warning and structural safety assessment are established in this paper based on the fusions of cloud computing, internet of things (IOT), and structural health monitoring (SHM). SHM plays a significant role in modern infrastructure because it provides a means to assess structural integrity online, eliminate manual inspections and may result in a transition from time-to condition-based maintenance. Also, there are many difficulties to deal with the huge amounts data for the owner of infrastructure. So the new ideas of SHMC which is provided and realized by the third part professional organization are proposed in this paper. Based on the summary of the technical characteristic of internet of things for structural health monitoring, the system requirements, architecture, and advantages of SHMC are described, and then the statues of related technology research were reviewed. The data mining and damage detection programs are embedded in SHMC platform and all collected data from acquisition system would be processed and then be used to assess the safety of infrastructures. Finally, actual applications of SHMC for large-scale infrastructures are illustrated.
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Gehl, Robert, et Fenwick McKelvey. « Bugging out : darknets as parasites of large-scale media objects ». Media, Culture & ; Society 41, no 2 (20 décembre 2018) : 219–35. http://dx.doi.org/10.1177/0163443718818379.

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Platforms and infrastructures have quickly become seminal concepts to understand large-scale computational systems. The difference between a platform and an infrastructure is subject to debate. In this article, we use the concept of the darknet to describe how infrastructure tends toward being public with other things where platforms tend to private relations. The darknet reveals these relations negatively, as we discuss, by turning these media objects into that which they desire not to be. We analyze these negative relations through the concept of the parasite developed by Michel Serres. By following how darknets parasite both platforms and infrastructure, we suggest a need to develop new concepts to understand the diversity of relations now possible in a network society.
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Babik, Marian, Ivan Fedorko et David Rodrigues. « Cluman : Advanced cluster management for the large-scale infrastructures ». Journal of Physics : Conference Series 331, no 5 (23 décembre 2011) : 052002. http://dx.doi.org/10.1088/1742-6596/331/5/052002.

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Tan, Yongmin, Vinay Venkatesh et Xiaohui Gu. « Resilient Self-Compressive Monitoring for Large-Scale Hosting Infrastructures ». IEEE Transactions on Parallel and Distributed Systems 24, no 3 (mars 2013) : 576–86. http://dx.doi.org/10.1109/tpds.2012.167.

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Nicolae, Bogdan, Gabriel Antoniu, Luc Bougé, Diana Moise et Alexandra Carpen-Amarie. « BlobSeer : Next-generation data management for large scale infrastructures ». Journal of Parallel and Distributed Computing 71, no 2 (février 2011) : 169–84. http://dx.doi.org/10.1016/j.jpdc.2010.08.004.

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Dutta, Kaushik, Debra VanderMeer et Krithi Ramamritham. « Managing RFID events in large-scale distributed RFID infrastructures ». Information Technology and Management 12, no 3 (3 février 2011) : 253–72. http://dx.doi.org/10.1007/s10799-011-0085-6.

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Florio, Massimo, et Emanuela Sirtori. « Social benefits and costs of large scale research infrastructures ». Technological Forecasting and Social Change 112 (novembre 2016) : 65–78. http://dx.doi.org/10.1016/j.techfore.2015.11.024.

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Bertagnoli, Gabriele, Marzia Malavisi et Giuseppe Mancini. « Large Scale Monitoring System for Existing Structures and Infrastructures ». IOP Conference Series : Materials Science and Engineering 603 (18 septembre 2019) : 052042. http://dx.doi.org/10.1088/1757-899x/603/5/052042.

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Cinque, Marcello, Catello Di Martino et Christian Esposito. « On data dissemination for large-scale complex critical infrastructures ». Computer Networks 56, no 4 (mars 2012) : 1215–35. http://dx.doi.org/10.1016/j.comnet.2011.11.016.

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Löhr, Lukas, Raphael Houben, Carolin Guntermann et Albert Moser. « Nested Decomposition Approach for Dispatch Optimization of Large-Scale, Integrated Electricity, Methane and Hydrogen Infrastructures ». Energies 15, no 8 (7 avril 2022) : 2716. http://dx.doi.org/10.3390/en15082716.

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Energy system integration enables raising operational synergies by coupling the energy infrastructures for electricity, methane, and hydrogen. However, this coupling reinforces the infrastructure interdependencies, increasing the need for integrated modeling of these infrastructures. To analyze the cost-efficient, sustainable, and secure dispatch of applied, large-scale energy infrastructures, an extensive and non-linear optimization problem needs to be solved. This paper introduces a nested decomposition approach with three stages. The method enables an integrated and full-year consideration of large-scale multi-energy systems in hourly resolution, taking into account physical laws of power flows in electricity and gas transmission systems as boundary conditions. For this purpose, a zooming technique successively reduces the temporal scope while first increasing the spatial and last the technical resolution. A use case proves the applicability of the presented approach to large-scale energy systems. To this end, the model is applied to an integrated European energy system model with a detailed focus on Germany in a challenging transport situation. The use case demonstrates the temporal, regional, and cross-sectoral interdependencies in the dispatch of integrated energy infrastructures and thus the benefits of the introduced approach.
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Ulriksen, Gro-Hilde, Rune Pedersen et Gunnar Ellingsen. « The Politics of Establishing ICT Governance for Large-Scale Healthcare Information Infrastructures ». International Journal of Social and Organizational Dynamics in IT 6, no 1 (janvier 2017) : 48–61. http://dx.doi.org/10.4018/ijsodit.2017010104.

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In Norway, the focus on interoperability and communication across healthcare practices has increased the need to connect ICT portfolios at different levels of healthcare, into large-scale information infrastructures (II). Governing healthcare practices is exceptionally complex, due to the diverging goals and policies of the heterogeneous actors involved. Establish well-functioning ICT governance organizations to handle these large infrastructures is therefore important. Using information infrastructure theory, and governance literature from the IS field, this paper contributes with empirical insight to the longitudinal and political process of establishing ICT governance in a healthcare context, reporting from one of Norway's largest health ICT projects, situated in the North Norway Regional Health Authority in 2012–2016. Our focus was on the following research questions: How does organizational politics shape the process of establishing an ICT governance organization in a heterogeneous healthcare environment, and what does it take to establish such ICT governance organization?
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Filiol, Éric, et Cécilia Gallais. « Optimization of Operational Large-Scale (Cyber) Attacks by a Combinational Approach ». International Journal of Cyber Warfare and Terrorism 7, no 3 (juillet 2017) : 29–43. http://dx.doi.org/10.4018/ijcwt.2017070103.

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Recent attacks against critical infrastructures have shown that it is possible to take down an entire infrastructure by targeting only a few of its components. To prevent or minimize the effects of this kind of attacks, it is necessary to identify these critical components whose disruption, damage or destruction can lead to the paralysis of an infrastructure. This paper shows that the identification of critical components can be made thanks to a particular pattern of the graph theory: the vertex cover. To illustrate how the vertex cover can be useful for the identification of critical components, the electrical power transmission and distribution system of the United States is used as an example. It is shown how it is possible to build an attack scenario against an infrastructure with the results of a vertex cover algorithm.
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Larsson, Anthony. « The Need for Research Infrastructures : A Narrative Review of Large-Scale Research Infrastructures in Biobanking ». Biopreservation and Biobanking 15, no 4 (août 2017) : 375–83. http://dx.doi.org/10.1089/bio.2016.0103.

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Wright, Holly, et Julian D. Richards. « Reflections on Collaborative Archaeology and Large-Scale Online Research Infrastructures ». Journal of Field Archaeology 43, sup1 (31 octobre 2018) : S60—S67. http://dx.doi.org/10.1080/00934690.2018.1511960.

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19

Huang, Kun, et Dafang Zhang. « DHT-based lightweight broadcast algorithms in large-scale computing infrastructures ». Future Generation Computer Systems 26, no 3 (mars 2010) : 291–303. http://dx.doi.org/10.1016/j.future.2009.08.013.

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20

Fernández-Quiruelas, V., C. Blanco, A. S. Cofiño et J. Fernández. « Large-scale climate simulations harnessing clusters, grid and cloud infrastructures ». Future Generation Computer Systems 51 (octobre 2015) : 36–44. http://dx.doi.org/10.1016/j.future.2015.04.009.

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21

LEFÈVRE, LAURENT, et ANNE-CECILE ORGERIE. « TOWARDS ENERGY AWARE RESERVATION INFRASTRUCTURE FOR LARGE-SCALE EXPERIMENTAL DISTRIBUTED SYSTEMS ». Parallel Processing Letters 19, no 03 (septembre 2009) : 419–33. http://dx.doi.org/10.1142/s0129626409000316.

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While an extensive set of research projects deal with the issue of power-saving for battery-based electronic devices, few have an interest in permanently-plugged Large-Scale Experimental Distributed Systems (LSEDS). However, a rapid study shows that each computer, member of a distributed system platform, consumes a substantial quantity of power, especially when those resources are idle. Today, given the number of processing resources involved in large-scale computing infrastructures, we are convinced that we can save a lot of electric power by proposing and applying "green policies". Introduced in this article, those policies propose to alternatively switch computer nodes On and Off in a clever way. Based on the analysis of some experimental large-scale system's usage, we propose a resource-reservation infrastructure which takes the energy issue into account. We validate our infrastructure on the large-scale experimental Grid'5000a platform and present the energy gains obtained.
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Das, Arghya Kusum, Praveen Kumar Koppa, Sayan Goswami, Richard Platania et Seung-Jong Park. « Large-scale parallel genome assembler over cloud computing environment ». Journal of Bioinformatics and Computational Biology 15, no 03 (23 mai 2017) : 1740003. http://dx.doi.org/10.1142/s0219720017400030.

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The size of high throughput DNA sequencing data has already reached the terabyte scale. To manage this huge volume of data, many downstream sequencing applications started using locality-based computing over different cloud infrastructures to take advantage of elastic (pay as you go) resources at a lower cost. However, the locality-based programming model (e.g. MapReduce) is relatively new. Consequently, developing scalable data-intensive bioinformatics applications using this model and understanding the hardware environment that these applications require for good performance, both require further research. In this paper, we present a de Bruijn graph oriented Parallel Giraph-based Genome Assembler (GiGA), as well as the hardware platform required for its optimal performance. GiGA uses the power of Hadoop (MapReduce) and Giraph (large-scale graph analysis) to achieve high scalability over hundreds of compute nodes by collocating the computation and data. GiGA achieves significantly higher scalability with competitive assembly quality compared to contemporary parallel assemblers (e.g. ABySS and Contrail) over traditional HPC cluster. Moreover, we show that the performance of GiGA is significantly improved by using an SSD-based private cloud infrastructure over traditional HPC cluster. We observe that the performance of GiGA on 256 cores of this SSD-based cloud infrastructure closely matches that of 512 cores of traditional HPC cluster.
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Chen, Zhibiao, Chenlong Ma et Chang Lin. « Revealing the Impact of Investment Benefits on Marketing Decision in Public Infrastructures Based on Game Theory : Case Study of Large-Scale Exhibition Infrastructures in China ». Buildings 14, no 3 (7 mars 2024) : 715. http://dx.doi.org/10.3390/buildings14030715.

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Investing in large-scale public infrastructures is vital for urban renewal and development, often relying on specific types of buildings to drive investment in municipal infrastructure and supporting service buildings. However, the complex interplay of interests among investors introduces unpredictability, hindering the effectiveness of such investments. This study employs evolutionary game theory to explore how investment benefits influence investor behavior. Using China’s large-scale exhibition infrastructures as a case study, a tripartite evolutionary game model is developed, involving the government, investors in exhibition buildings, and investors in supporting services. The strategies of the three parties are analyzed, and simulations explore the effects of different initial strategy values, costs, subsidies, and profits. Five research outcomes are identified, indicating that favorable initial investments and optimal subsidies encourage proactive investment, while high initial costs deter it. Consequently, five recommendations for promoting coordinated investment in exhibition facilities are proposed, including the establishment of communication platforms to enhance stakeholder cooperation. These findings offer insights for decision making in other large-scale infrastructure investments, such as sports facilities and transportation hubs.
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Ardagna, Danilo, Claudia Canali et Riccardo Lancellotti. « Special Issue on Algorithms for the Resource Management of Large Scale Infrastructures ». Algorithms 11, no 12 (10 décembre 2018) : 200. http://dx.doi.org/10.3390/a11120200.

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Modern distributed systems are becoming increasingly complex as virtualization is being applied at both the levels of computing and networking. Consequently, the resource management of this infrastructure requires innovative and efficient solutions. This issue is further exacerbated by the unpredictable workload of modern applications and the need to limit the global energy consumption. The purpose of this special issue is to present recent advances and emerging solutions to address the challenge of resource management in the context of modern large-scale infrastructures. We believe that the four papers that we selected present an up-to-date view of the emerging trends, and the papers propose innovative solutions to support efficient and self-managing systems that are able to adapt, manage, and cope with changes derived from continually changing workload and application deployment settings, without the need for human supervision.
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Larsson, Anthony, Carl Savage, Mats Brommels et Pauline Mattsson. « Structuring a research infrastructure : A study of the rise and fall of a large-scale distributed biobank facility ». Social Science Information 57, no 2 (10 mars 2018) : 196–222. http://dx.doi.org/10.1177/0539018418761848.

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This study analyses the perceived key interests, importance, influences and participation of different actors in harmonizing the processes and mechanisms of a distributed research infrastructure. It investigates the EU-funded initiative, BioBanking and Molecular Resource Infrastructure in Sweden (BBMRI.se), which seeks to harmonize the biobanking standards. The study interviews multiple actors involved throughout the development process. Their responses are analysed via a framework based on the IIED Stakeholder Power Analysis Tool. The BBMRI.se formation was facilitated by two parallel processes, with domestic and European/foreign origin, with leading scientists becoming ‘National Champions’. The respondents joined the organization under the premise that it would be a collaborative endeavour, but they were disappointed to learn the deliberative elements were more prevalent. In conclusion, the resulting autonomous structure caused disarray, while also fuelling interpersonal differences, ultimately leading to the closure of the infrastructure. Hence, it is necessary to clearly identify potential collaborative and deliberative elements already at the outset while also securing wider forms of communication between the participating actors, when establishing distributed research infrastructures. Moreover, while prior literature suggests that research infrastructures counteracts fragmentation, these results illustrate that this is not the case for this distributed research infrastructure.
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Limongelli, M. P., M. Previtali, L. Cantini, S. Carosio, J. C. Matos, J. M. Isoird, H. Wenzel et C. Pellegrino. « LIFECYCLE MANAGEMENT, MONITORING AND ASSESSMENT FOR SAFE LARGE-SCALE INFRASTRUCTURES : CHALLENGES AND NEEDS ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (4 mai 2019) : 727–34. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-727-2019.

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<p><strong>Abstract.</strong> Many European infrastructures dating back to ’50 and ’60 of the last century like bridges and viaducts are approaching the end of their design lifetime. In most European countries costs related to maintenance of infrastructures reach a quite high percentage of the construction budget and additional costs in terms of traffic delay are due to downtime related to the inspection and maintenance interventions. In the last 30 years, the rate of deterioration of these infrastructures has increased due to increased traffic loads, climate change related events and man-made hazards. A sustainable approach to infrastructures management over their lifecycle plays a key role in reducing the impact of mobility on safety (over 50&amp;thinsp;000 fatalities in EU per year) and the impact of greenhouse gases emission related to fossil fuels. The events related to the recent collapse of the Morandi bridge in Italy tragically highlighted the sheer need to improve resilience of aging transport infrastructures, in order to increase the safety for people and goods and to reduce losses of functionality and the related consequences. In this focus Structural Health Monitoring (SHM) is one of the key strategies with a great potential to provide a new approach to performance assessment and maintenance over the life cycle for an efficient, safe, resilient and sustainable management of the infrastructures. In this paper research efforts, needs and challenges in terms of performance monitoring, assessment and standardization are described and discussed.</p>
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Lavitrano, Marialuisa. « Enhance expertise in European research infrastructures ». Open Access Government 42, no 1 (12 avril 2024) : 24–225. http://dx.doi.org/10.56367/oag-042-11398.

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Enhance expertise in European research infrastructures Marialuisa Lavitrano, Full Professor at University Milano Bicocca, explores the need for a European School for the Management of Research Infrastructure to enhance expertise in European research infrastructure management. European Research Infrastructures (RI) are complex organisations that offer the research communities access to cutting-edge resources, data, and services to conduct research and foster innovation in their fields. RIs include major scientific equipment (or sets of instruments), knowledge-based resources such as collections, archives, and scientific data, e-infrastructures, such as data and computing systems and communication networks, and other tools and services essential to achieving excellence in research and innovation. RI span the whole spectrum of knowledge from social sciences to astrophysics, including environmental sciences and large-scale infrastructures.
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Short, Hannah, David Kelsey, Romain Wartel, David Groep, Urpo Kaila, Ralph Niederberger et Nicole Harris. « WISE Information Security for Collaborating e-Infrastructures ». EPJ Web of Conferences 214 (2019) : 03041. http://dx.doi.org/10.1051/epjconf/201921403041.

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As most are fully aware, cybersecurity attacks are an ever-growing problem as larger parts of our lives take place on-line. Distributed digital infrastructures are no exception and action must be taken to both reduce the security risk and tohandle security incidents when they inevitably happen. These activities are carried out by the various research infrastructures and it has become very clear in recent years that collaboration with others both helps to improve the security and to work more efficiently. The Wise Information Security for Collaborating e-Infrastructures (WISE) community provides a trusted framework where security experts can share information on topics such as risk management, experiences about certification processes and threat intelligence. With participants from multiple large scale Infrastructures, WISE focuses on standards, guidelines and practices, and promotes the protection of critical infrastructure. To date WISE has published two documents; a risk management template and a second version of the SCI framework, endorsed by multiple large-scale infrastructures. In 2018 WISE began work on new areas of relevance to the High Energy Physics community, including a focus on operational security and incident response for interoperating infrastructures. We present an overview of the available WISE recommendations, future work and how WISE brings benefits to the High Energy Physics community.
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Pacevicius, Michael Felix, Marilia Ramos, Davide Roverso, Christian Thun Eriksen et Nicola Paltrinieri. « Managing Heterogeneous Datasets for Dynamic Risk Analysis of Large-Scale Infrastructures ». Energies 15, no 9 (26 avril 2022) : 3161. http://dx.doi.org/10.3390/en15093161.

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Risk assessment and management are some of the major tasks of urban power-grid management. The growing amount of data from, e.g., prediction systems, sensors, and satellites has enabled access to numerous datasets originating from a diversity of heterogeneous data sources. While these advancements are of great importance for more accurate and trustable risk analyses, there is no guidance on selecting the best information available for power-grid risk analysis. This paper addresses this gap on the basis of existing standards in risk assessment. The key contributions of this research are twofold. First, it proposes a method for reinforcing data-related risk analysis steps. The use of this method ensures that risk analysts will methodically identify and assess the available data for informing the risk analysis key parameters. Second, it develops a method (named the three-phases method) based on metrology for selecting the best datasets according to their informative potential. The method, thus, formalizes, in a traceable and reproducible manner, the process for choosing one dataset to inform a parameter in detriment of another, which can lead to more accurate risk analyses. The method is applied to a case study of vegetation-related risk analysis in power grids, a common challenge faced by power-grid operators. The application demonstrates that a dataset originating from an initially less valued data source may be preferred to a dataset originating from a higher-ranked data source, the content of which is outdated or of too low quality. The results confirm that the method enables a dynamic optimization of dataset selection upfront of any risk analysis, supporting the application of dynamic risk analyses in real-case scenarios.
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Pacevicius, Michael Felix, Marilia Ramos, Davide Roverso, Christian Thun Eriksen et Nicola Paltrinieri. « Managing Heterogeneous Datasets for Dynamic Risk Analysis of Large-Scale Infrastructures ». Energies 15, no 9 (26 avril 2022) : 3161. http://dx.doi.org/10.3390/en15093161.

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Risk assessment and management are some of the major tasks of urban power-grid management. The growing amount of data from, e.g., prediction systems, sensors, and satellites has enabled access to numerous datasets originating from a diversity of heterogeneous data sources. While these advancements are of great importance for more accurate and trustable risk analyses, there is no guidance on selecting the best information available for power-grid risk analysis. This paper addresses this gap on the basis of existing standards in risk assessment. The key contributions of this research are twofold. First, it proposes a method for reinforcing data-related risk analysis steps. The use of this method ensures that risk analysts will methodically identify and assess the available data for informing the risk analysis key parameters. Second, it develops a method (named the three-phases method) based on metrology for selecting the best datasets according to their informative potential. The method, thus, formalizes, in a traceable and reproducible manner, the process for choosing one dataset to inform a parameter in detriment of another, which can lead to more accurate risk analyses. The method is applied to a case study of vegetation-related risk analysis in power grids, a common challenge faced by power-grid operators. The application demonstrates that a dataset originating from an initially less valued data source may be preferred to a dataset originating from a higher-ranked data source, the content of which is outdated or of too low quality. The results confirm that the method enables a dynamic optimization of dataset selection upfront of any risk analysis, supporting the application of dynamic risk analyses in real-case scenarios.
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31

Tostões, Ana, et Zara Ferreira. « The European Large Scale Heritage ». Housing Reloaded, no 54 (2016) : 2–3. http://dx.doi.org/10.52200/54.a.90ofk4nm.

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Post-War Housing Complexes in Europe are symbols of architectural, technological and social aspirations. These grands ensembles of Mass Housing have nowadays begun to be appreciated by users and authorities, as integral part of the current city. Whether discussing demolition (as faced by the Smithsons' Robin Hood Gardens and Toulouse's Le Mirail, and commonly seen as a focus for social marginalization), or the growing phenomenon of heritagization (as implicit in the type of person now using the Marseille Unité d’Habitation), the debate today has mainly become centered on the question of: how to keep these large structures alive, while meeting contemporary standards of comfort? Characterized by adventurous experiments in the use of new materials and techniques, space creation and gender transformations, the obsolescence of these big complexes is determined on two different levels: the technical one (regarding comfort, such as thermal or acoustic, and the need for mechanical and safety improvements, as infrastructures, systems, elevators), and the functional one (involving space dimensions, organisation, orientation, and the introduction of new uses); all while complying with current regulatory standards. In addition, these buildings have frequently been intensively used and modified.
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32

Nicola, Mihaylov. « Best Practices and Lessons Learned from the Project 15.3.1.017 „Risk Management for Large Scale Infrastructures in the Romanian-Bulgarian CrossBorder Area“ ». Scientific Bulletin of Naval Academy XIX, no 1 (15 juillet 2018) : 550–54. http://dx.doi.org/10.21279/1454-864x-18-i1-082.

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The paper presents the main results from the implementation of the project 15.3.1.017 „Risk Management for Large Scale Infrastructures in the Romanian-Bulgarian Cross-Border Area“, financed by the European Regional Development Fund (ERDF) and the Programme Interreg V-A Romania – Bulgaria. The project includes a study of the main infrastructure objects from the chemical industry, energy and transport infrastructures. Documents have been developed in order to raise the awareness of the population in the crossborder region. The knowledge of the trainees has been assessed in respect to risk management and the information related to it. The paper presents a statistical analysis of the questionnaires completed during the project.
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33

Sultan, Shizra, et Christian D. Jensen. « Ensuring Purpose Limitation in Large-Scale Infrastructures with Provenance-Enabled Access Control ». Sensors 21, no 9 (26 avril 2021) : 3041. http://dx.doi.org/10.3390/s21093041.

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The amount of data generated in today’s world has a fair share of personal information about individuals that helps data owners and data processors in providing them with personalized services. Different legal and regulatory obligations apply to all data owners collecting personal information, specifying they use it only for the agreed-upon purposes and in a transparent way to preserve privacy. However, it is difficult to achieve this in large-scale and distributed infrastructures as data is continuously changing its form, such as through aggregation with other sources or the generation of new transformed resources, resulting often in the loss or misinterpretation of the collection purpose. In order to preserve the authorized collection purposes, we propose data is added as a part of immutable and append-only resource metadata (provenance), to be retrieved by an access control mechanism when required for data-usage verification. This not only ensures purpose limitation in large-scale infrastructures but also provides transparency for individuals and auditing authorities to track how personal information is used.
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Li, Hong-Nan, et Ting-Hua Yi. « Guest Editorial : Applications of Integrated Monitoring System for Large-Scale Civil Infrastructures ». International Journal of Structural Stability and Dynamics 16, no 04 (28 mars 2016) : 1602002. http://dx.doi.org/10.1142/s0219455416020028.

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D’Ippolito, Beatrice, et Charles-Clemens Rüling. « Research collaboration in Large Scale Research Infrastructures : Collaboration types and policy implications ». Research Policy 48, no 5 (juin 2019) : 1282–96. http://dx.doi.org/10.1016/j.respol.2019.01.011.

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López, G., J. I. Moreno, H. Amarís et F. Salazar. « Paving the road toward Smart Grids through large-scale advanced metering infrastructures ». Electric Power Systems Research 120 (mars 2015) : 194–205. http://dx.doi.org/10.1016/j.epsr.2014.05.006.

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Zasada, Stefan J., David C. W. Chang, Ali N. Haidar et Peter V. Coveney. « Flexible composition and execution of large scale applications on distributed e-infrastructures ». Journal of Computational Science 5, no 1 (janvier 2014) : 51–62. http://dx.doi.org/10.1016/j.jocs.2013.10.009.

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León, Xavier, Tuan Anh Trinh et Leandro Navarro. « Using economic regulation to prevent resource congestion in large-scale shared infrastructures ». Future Generation Computer Systems 26, no 4 (avril 2010) : 599–607. http://dx.doi.org/10.1016/j.future.2009.11.004.

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Amin, S. Massoud, et Barry M. Horowitz. « Toward Agile and Resilient Large-Scale Systems : Adaptive Robust National/International Infrastructures ». Global Journal of Flexible Systems Management 9, no 1 (janvier 2008) : 27–39. http://dx.doi.org/10.1007/bf03396536.

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Rodríguez-Antuñano, Ignacio, Joaquín Martínez-Sánchez, Manuel Cabaleiro et Belén Riveiro. « Anticipating the Collapse of Urban Infrastructure : A Methodology Based on Earth Observation and MT-InSAR ». Remote Sensing 15, no 15 (4 août 2023) : 3867. http://dx.doi.org/10.3390/rs15153867.

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Large-scale infrastructure monitoring and vulnerability assessment are crucial for the preservation and maintenance of built environments. To ensure the safety of urban infrastructure against natural and man-made disasters, constant monitoring is crucial. To do so, satellite Earth observation (EO) is being proposed, particularly radar-based imaging, because it allows large-scale constant monitoring since radar signals are not blocked by clouds and can be collected during both day and night. The proposed methodology for large-scale infrastructure monitoring and vulnerability assessment is based on MT-InSAR time series analysis. The homogeneity of the year-to-year displacement trend between each point and its surrounding points is evaluated to determine whether the area is a stable or vulnerable zone. To validate the methodology, four case studies of recently collapsed infrastructures are analyzed. The results indicate the potential of the proposed methodology for predicting and preventing structural collapses.
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Pourmirza, Zoya, Seyed Hamid Reza Hosseini, Sara Walker, Damian Giaouris et Philip Taylor. « The Landscape and Roadmap of the Research and Innovation Infrastructures in Energy : A Review of the Case Study of the UK ». Sustainability 14, no 12 (12 juin 2022) : 7197. http://dx.doi.org/10.3390/su14127197.

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Research and development are critical for driving economic growth. To realise the UK government’s Industrial Strategy, we develop an energy research and innovation infrastructure roadmap and landscape for the energy sector looking to the long term (2030). This study is based on a picture of existing UK infrastructure on energy. It shows the links between the energy sector and other sectors, the distribution of energy research and innovation infrastructures, the age of these infrastructures, where most of the energy research and innovation infrastructures are hosted, and the distribution of energy research and innovation infrastructures according to their legal structure. Next, this study identifies the roadmap of energy research and innovation infrastructures by 2030, based on a categorisation of the energy sector into seven subsectors. Challenges and future requirements are explored for each of the sub-sectors, encompassing fossil fuels and nuclear energy to renewable energy sources and hydrogen, and from pure science to applied engineering. The study discusses the potential facilities to address these challenges within each sub-sector. It explores the e-infrastructure and data needs for the energy sector and provides a discussion on other sectors of the economy that energy research and innovation infrastructures contribute to. Some of the key messages identified in this study are the need for further large-scale initiative and large demonstrators of multi-vector energy systems, the need for multi-disciplinary research and innovation, and the need for greater data sharing and cyber-physical demonstrators. Finally, this work will serve as an important study to provide guidance for future investment strategy for the energy sector.
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NEOCLEOUS, KYRIAKOS, MARIOS D. DIKAIAKOS, PARASKEVI FRAGOPOULOU et EVANGELOS P. MARKATOS. « FAILURE MANAGEMENT IN GRIDS : THE CASE OF THE EGEE INFRASTRUCTURE ». Parallel Processing Letters 17, no 04 (décembre 2007) : 391–410. http://dx.doi.org/10.1142/s0129626407003113.

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The emergence of Grid infrastructures like EGEE has enabled the deployment of large-scale computational experiments that address challenging scientific problems in various fields. However, to realize their full potential, Grid infrastructures need to achieve a higher degree of dependability, i.e., they need to improve the ratio of Grid-job requests that complete successfully in the presence of Grid-component failures. To achieve this, however, we need to determine, analyze and classify the causes of job failures on Grids. In this paper we study the reasons behind Grid job failures in the context of EGEE, the largest Grid infrastructure currently in operation. We present points of failure in a Grid that affect the execution of jobs, and describe error types and contributing factors. We discuss various information sources that provide users and administrators with indications about failures, and assess their usefulness based on error information accuracy and completeness. We describe two real-life case studies, describing failures that occurred on a production site of EGEE and the troubleshooting process for each case. Finally, we propose the architecture for a system that could provide failure management support to administrators and end-users of large-scale Grid infrastructures like EGEE.
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Vega, Carlos, Paula Roquero, Rafael Leira, Ivan Gonzalez et Javier Aracil. « Loginson : a transform and load system for very large-scale log analysis in large IT infrastructures ». Journal of Supercomputing 73, no 9 (6 mars 2017) : 3879–900. http://dx.doi.org/10.1007/s11227-017-1990-1.

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EL AJALTOUNI, ELIE, MING ZHANG, AZZEDINE BOUKERCHE et ROBSON EDUARDO DE GRANDE. « AN ADAPTIVE DYNAMIC LOAD BALANCING TECHNIQUE FOR GRID-BASED LARGE SCALE DISTRIBUTED SIMULATIONS ». Journal of Interconnection Networks 10, no 04 (décembre 2009) : 391–419. http://dx.doi.org/10.1142/s0219265909002637.

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Dynamic load balancing is a key factor in achieving high performance for large scale distributed simulations on grid infrastructures. In a grid environment, the available resources and the simulation's computation and communication behavior may experience critical run-time imbalances. Consequently, an initial static partitioning should be combined with a dynamic load balancing scheme to ensure the high performance of the distributed simulation. In this paper, we propose a dynamic load balancing scheme for distributed simulations on a grid infrastructure. Our scheme is composed of an online network analyzing service coupled with monitoring agents and a run-time model repartitioning service. We present a hierarchical scalable adaptive JXTA service based scheme and use simulation experiments to demonstrate that our proposed scheme exhibits better performance in terms of simulation execution time. Furthermore, we extend our algorithm from a local intra-cluster algorithm to a global inter-cluster algorithm and we consider the proposed global design through a formalized Discrete Event System Specification (DEVS) model system
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Scheerlinck, Kris. « STREETSCAPE TERRITORIES AND THE CASE OF ADDIS ABABA ». Journal of Research in Architecture and Planning 19, no 2 (25 décembre 2015) : 12–21. http://dx.doi.org/10.53700/jrap1922015_2.

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Urban transformation is directly related to the planning, design and use of a series of urban infrastructures, from streets to highways, from pedestrian, bicycle, bus or train lines and their connecting transport hubs to rivers, canals or harbor facilities. They play an essential role in the transformation of the urban fabric. Recent societal changes, especially in developing countries, demanding higher mobility and urban interaction, influence the used planning and design strategies to transform or extend urbanized areas by planning or renewing these infrastructures. However, its relationship to the surrounding urban fabric, more specifically the collective spaces it constitutes at the level of the streetscape, is not always an initial or integral part of providing these infrastructures. In many cases, the urban fabric is wrapped around or fragmented by these infrastructural projects, causing scale contrasts and struggle to integrate within, generating processes of misappropriation or misuse. Especially in developing contexts, new infrastructures are often planned and built in a fast way, rarely considering the qualities of the existing urban fabric. During the last decades, research on planning and design models related to the building or integrating of urban infrastructures has been developed and tested via specialised disciplinary approaches to produce insights on the relationship urban infrastructures have with the surrounding urban fabric (Secchi, 2013; Hasan, et. al. 2010; Shannon and Smets, 2009; De Maulder, 2008; Hillier, 1996;). However, additional in-depth research is needed to achieve critical insights on the relationship of infrastructures and their direct environments, starting from their constituent streetscapes - considering the level of the street that defines the perception and use by the inhabitants at an intermediate scale. This paper focuses on an ongoing research project in Addis Ababa (Ethiopia), where different visions and models of urban growth are at stake (Figure 1). The recent increase of (foreign) investment in major infrastructures, changes the city's streetscapes drastically. This large scale and formal approach of installing high speed trains, Light Rail Transit's (LRT) or expanded highways and ring roads, to stimulate urban growth, contrasts with the daily routines of the proper citizens that move around by walking or by means of mini buses, both adding to the informal qualities of the city's streetscapes. Within this multi-centred capital, the location of built and planned housing projects, commercial centres, administrative or commercial high rises is studied in relation to the present infrastructural axes and questions models of proximity, accessibility and permeability. Keywords: Streetscapes, High Speed Trains, LRT, Addis Ababa, Infrastructure
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Barak, On. « Infrastructures of Minoritization ». Comparative Studies of South Asia, Africa and the Middle East 41, no 3 (1 décembre 2021) : 347–54. http://dx.doi.org/10.1215/1089201x-9407871.

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Abstract Figurations of body, community, and politics traversed India and the Ottoman world along the artificial coaling archipelago that connected both via legal islands of extraterritoriality and other technologies in the Red Sea. Examining this system and the ethnic groups that operated and subverted it reveals how minority formation and other forms of making community and autonomy were linked to processes of anatomization and a rearticulation of ideas about race, blood, and soil. This “infrastructural turn” meant that sociability, religion, identity, and political legitimacy in the inter- and intra-imperial domains were biologized and thus fastened to the material and technological systems these groups were part of. Parsis and their Muslim competitors naturalized this system and made it and themselves into parts of the landscape. Such ecologies of ethnicity and extrastatecraft flourished on the margins of large-scale infrastructures, underpinning the emergence of minorities and diasporas in the twentieth century.
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Groen, Derek, Agastya P. Bhati, James Suter, James Hetherington, Stefan J. Zasada et Peter V. Coveney. « FabSim : Facilitating computational research through automation on large-scale and distributed e-infrastructures ». Computer Physics Communications 207 (octobre 2016) : 375–85. http://dx.doi.org/10.1016/j.cpc.2016.05.020.

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Lee, Kevin, Georg Buss et Daniel Veit. « A heuristic approach for the allocation of resources in large-scale computing infrastructures ». Concurrency and Computation : Practice and Experience 28, no 5 (8 décembre 2015) : 1527–47. http://dx.doi.org/10.1002/cpe.3709.

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Chakraborty, Soham, Jaesang Park, Govind Saraswat, Toby Meyers, Jing Wang, Soumya Tiwari, Vivek Khatana, Atif Maqsood, Apurva Somani et Murti V. Salapaka. « Emergency Power Supply System for Critical Infrastructures : Design and Large Scale Hardware Demonstration ». IEEE Access 11 (2023) : 114509–26. http://dx.doi.org/10.1109/access.2023.3325198.

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Lakhwani, Kamlesh, Gajanand Sharma, Ramandeep Sandhu, Naresh Kumar Nagwani, Sandeep Bhargava, Varsha Arya et Ammar Almomani. « Adaptive and Convex Optimization-Inspired Workflow Scheduling for Cloud Environment ». International Journal of Cloud Applications and Computing 13, no 1 (21 juin 2023) : 1–25. http://dx.doi.org/10.4018/ijcac.324809.

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Scheduling large-scale and resource-intensive workflows in cloud infrastructure is one of the main challenges for cloud service providers (CSPs). Cloud infrastructure is more efficient when virtual machines and other resources work up to their full potential. The main factor that influences the quality of cloud services is the distribution of workflow on virtual machines (VMs). Scheduling tasks to VMs depends on the type of workflow and mechanism of resource allocation. Scientific workflows include large-scale data transfer and consume intensive resources of cloud infrastructures. Therefore, scheduling of tasks from scientific workflows on VMs requires efficient and optimized workflow scheduling techniques. This paper proposes an optimised workflow scheduling approach that aims to improve the utilization of cloud resources without increasing execution time and execution cost.
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