Relevant bibliographies by topics / End-to-end service orchestration

Academic literature on the topic 'End-to-end service orchestration'

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Published: 14 March 2023

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Journal articles on the topic "End-to-end service orchestration"

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Lopez, V., J. M. Gran Josa, V. Uceda, F. Slyne, M. Ruffini, R. Vilalta, A. Mayoral, R. Muñoz, R. Casellas, and R. Martínez. "End-to-End Service Orchestration From Access to Backbone." Journal of Optical Communications and Networking 9, no. 6 (June 1, 2017): B137. http://dx.doi.org/10.1364/jocn.9.00b137.

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Rafiq, Adeel, Asif Mehmood, Talha Ahmed Khan, Khizar Abbas, Muhammad Afaq, and Wang-Cheol Song. "Intent-Based End-to-End Network Service Orchestration System for Multi-Platforms." Sustainability 12, no. 7 (April 1, 2020): 2782. http://dx.doi.org/10.3390/su12072782.

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On-demand service is the main feature of the 5G network, and Network Function Virtualization (NFV) provides it by virtualizing the existing 5G network infrastructure. NFV crafts various virtual networks on a shared physical network, but one of the core challenges in future 5G networks is to automate the modeling of Virtualized Network Functions (VNFs) and end-to-end Network Service (NS) orchestration with less human interaction. Traditionally, the descriptor of VNF and NS is created manually, which requires expert-level skills. This manual approach has a big threat of human error, which can be avoided by using the Intent-Based Networking (IBN) approach. The IBN approach eliminates the requirement of expertise for designing VNFs and NS by taking users’ intentions as an input. In this paper, the proposed system presents the Intent Management System for VNF modeling and end-to-end NS orchestration for multi-platforms. This system takes the high-level information related to a specific service, configures it accordingly, and converts it into the selected platform. The proposed system is tested using Mobile Central Office Re-architected as Data Center (M-CORD) and Open-Source Management and Orchestration (OSM) orchestrators. The results section shows that the proposed system reduces the effort of the end-user in creating network slices and provides seamless end-to-end service orchestration.
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Castro, Alberto, Luis Velasco, Lluis Gifre, Cen Chen, Jie Yin, Zuqing Zhu, Roberto Proietti, and Sung-Joo Ben Yoo. "Brokered Orchestration for End-to-End Service Provisioning Across Heterogeneous Multi-Operator (Multi-AS) Optical Networks." Journal of Lightwave Technology 34, no. 23 (December 1, 2016): 5391–400. http://dx.doi.org/10.1109/jlt.2016.2610964.

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Papadakis-Vlachopapadopoulos, Konstantinos, Ioannis Dimolitsas, Dimitrios Dechouniotis, Eirini Eleni Tsiropoulou, Ioanna Roussaki, and Symeon Papavassiliou. "On Blockchain-Based Cross-Service Communication and Resource Orchestration on Edge Clouds." Informatics 8, no. 1 (February 26, 2021): 13. http://dx.doi.org/10.3390/informatics8010013.

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With the advent of 5G verticals and the Internet of Things paradigm, Edge Computing has emerged as the most dominant service delivery architecture, placing augmented computing resources in the proximity of end users. The resource orchestration of edge clouds relies on the concept of network slicing, which provides logically isolated computing and network resources. However, though there is significant progress on the automation of the resource orchestration within a single cloud or edge cloud datacenter, the orchestration of multi-domain infrastructure or multi-administrative domain is still an open challenge. Towards exploiting the network service marketplace at its full capacity, while being aligned with ETSI Network Function Virtualization architecture, this article proposes a novel Blockchain-based service orchestrator that leverages the automation capabilities of smart contracts to establish cross-service communication between network slices of different tenants. In particular, we introduce a multi-tier architecture of a Blockchain-based network marketplace, and design the lifecycle of the cross-service orchestration. For the evaluation of the proposed approach, we set up cross-service communication in an edge cloud and we demonstrate that the orchestration overhead is less than other cross-service solutions.
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Morkevicius, Nerijus, Algimantas Venčkauskas, Nerijus Šatkauskas, and Jevgenijus Toldinas. "Method for Dynamic Service Orchestration in Fog Computing." Electronics 10, no. 15 (July 27, 2021): 1796. http://dx.doi.org/10.3390/electronics10151796.

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Fog computing is meant to deal with the problems which cloud computing cannot solve alone. As the fog is closer to a user, it can improve some very important QoS characteristics, such as a latency and availability. One of the challenges in the fog architecture is heterogeneous constrained devices and the dynamic nature of the end devices, which requires a dynamic service orchestration to provide an efficient service placement inside the fog nodes. An optimization method is needed to ensure the required level of QoS while requiring minimal resources from fog and end devices, thus ensuring the longest lifecycle of the whole IoT system. A two-stage multi-objective optimization method to find the best placement of services among available fog nodes is presented in this paper. A Pareto set of non-dominated possible service distributions is found using the integer multi-objective particle swarm optimization method. Then, the analytical hierarchy process is used to choose the best service distribution according to the application-specific judgment matrix. An illustrative scenario with experimental results is presented to demonstrate characteristics of the proposed method.
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Wang, Shuyi, and Longxiang Yang. "Securing Dynamic Service Function Chain Orchestration in EC-IoT Using Federated Learning." Sensors 22, no. 23 (November 22, 2022): 9041. http://dx.doi.org/10.3390/s22239041.

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Dynamic service orchestration is becoming more and more necessary as IoT and edge computing technologies continue to advance due to the flexibility and diversity of services. With the surge in the number of edge devices and the increase in data volume of IoT scenarios, there are higher requirements for the transmission security of privacy information from each edge device and the processing efficiency of SFC orchestration. This paper proposes a kind of dynamic SFC orchestration security algorithm applicable to EC-IoT scenarios based on the federated learning framework, combined with a block coordinated descent approach and the quadratic penalty algorithm to achieve communication efficiency and data privacy protection. A deep reinforcement learning algorithm is used to simultaneously adapt the SFC orchestration method in order to dynamically observe environmental changes and decrease end-to-end delay. The experimental results show that compared with the existing dynamic SFC orchestration algorithms, the proposed algorithm can achieve better convergence and latency performance under the condition of privacy protection; the overall latency is reduced by about 33%, and the overall convergence speed is improved by about 9%, which not only achieves the security of data privacy protection of edge computing nodes, but also meets the requirements of dynamic SFC orchestration.
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Batista, José Olimpio Rodrigues, Douglas Chagas da Silva, Moacyr Martucci, Regina Melo Silveira, and Carlos Eduardo Cugnasca. "A Multi-Provider End-to-End Dynamic Orchestration Architecture Approach for 5G and Future Communication Systems." Applied Sciences 11, no. 24 (December 15, 2021): 11914. http://dx.doi.org/10.3390/app112411914.

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Network segregation is the solution adopted in the IMT-2020 standardization of the International Telecommunications Union (ITU), better known as 5G networks (Fifth Generation Mobile Networks), under development to meet the requirements of performance, reliability, energy, and economic efficiency required by applications in the various verticals of current and near-future economic activities. The philosophy adopted for the IMT-2020 standardization relies on the use of Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Software-Defined Radio (SDR), i.e., the softwarization of the network. Softwarization allows network segregation through its slicing, which is discussed herein this work. Network slicing is performed by a novel Orchestrator, as provided in IMT-2020, which maintains the end-to-end network slices independent of each other and performs horizontal handover when the possibility of a loss of Quality of Service (QoS) is predictively detected by monitoring quality parameters during operation. Therefore, the Orchestrator is dynamic, operates in uptime, and allows horizontal handover. Hence, it chooses the most appropriate telecommunication infrastructure provider and network operator to guarantee QoS and Quality of Experience (QoE) to end-users in each network segment. These features make this work modern and keep it aligned with the actions being carried out by ITU. Based on this objective, as the main result of this paper, we propose an effective architecture for implementing the Orchestrator, not only to contribute to the state of the art for 5G and beyond communication systems but also to generate economic, technological, and social impacts.
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Kim, Dongkyun, and Yong-Hwan Kim. "Dynamic Virtual Network Slicing and Orchestration for Selective MEC Services over Wide-Area SDN." Algorithms 13, no. 10 (September 27, 2020): 245. http://dx.doi.org/10.3390/a13100245.

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Multi-access edge computing (MEC) has become an essential technology for collecting, analyzing, and processing data generated by widely distributed user equipment (UE), wireless end-hosts, Internet of things (IoT) sensors, etc., providing real-time and high-quality networking services with ultralow end-to-end latency guaranteed between various user devices and edge cloud computing nodes. However, the cloud resources at the MEC on-site (access point) and edge site are restricted and insufficient mainly because of the operation and management constraints (e.g., limited space and capacity), particularly in the case of on-demand and dynamic service resource deployment. In this regard, we propose a selective MEC resource allocation scheme adopting a multitier architecture over a wide-area software-defined network (SDN) on the basis of our recent research work on virtual network slicing and resource orchestration. The proposed scheme provides an optimized MEC selection model considering end-to-end latency and efficient service resource utilization on the basis of the hierarchical MEC service architecture.
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Peng, Shuping, Jose Oscar Fajardo, Pouria Sayyad Khodashenas, Begoña Blanco, Fidel Liberal, Cristina Ruiz, Charles Turyagyenda, Mick Wilson, and Sunil Vadgama. "QoE-Oriented Mobile Edge Service Management Leveraging SDN and NFV." Mobile Information Systems 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/3961689.

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5G envisages a “hyperconnected society” where trillions of diverse entities could communicate with each other anywhere and at any time, some of which will demand extremely challenging performance requirements such as submillisecond low latency. Mobile Edge Computing (MEC) concept where application computing resources are deployed at the edge of the mobile network in proximity of an end user is a promising solution to improve quality of online experience. To make MEC more flexible and cost-effective Network Functions Virtualisation (NFV) and Software-Defined Networking (SDN) technologies are widely adopted. It leads to significant CAPEX and OPEX reduction with the help of a joint radio-cloud management and orchestration logic. In this paper we discuss and develop a reference architecture for the orchestration and management of the MEC ecosystem. Along with the lifecycle management flows of MEC services, indicating the interactions among the functional modules inside the Orchestrator and with external elements, QoS management with a focus on the channel state information technique is presented.
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Liutkevičius, Agnius, Nerijus Morkevičius, Algimantas Venčkauskas, and Jevgenijus Toldinas. "Distributed Agent-Based Orchestrator Model for Fog Computing." Sensors 22, no. 15 (August 7, 2022): 5894. http://dx.doi.org/10.3390/s22155894.

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Fog computing is an extension of cloud computing that provides computing services closer to user end-devices at the network edge. One of the challenging topics in fog networks is the placement of tasks on fog nodes to obtain the best performance and resource usage. The process of mapping tasks for resource-constrained devices is known as the service or fog application placement problem (SPP, FAPP). The highly dynamic fog infrastructures with mobile user end-devices and constantly changing fog nodes resources (e.g., battery life, security level) require distributed/decentralized service placement (orchestration) algorithms to ensure better resilience, scalability, and optimal real-time performance. However, recently proposed service placement algorithms rarely support user end-device mobility, constantly changing the resource availability of fog nodes and the ability to recover from fog node failures at the same time. In this article, we propose a distributed agent-based orchestrator model capable of flexible service provisioning in a dynamic fog computing environment by considering the constraints on the central processing unit (CPU), memory, battery level, and security level of fog nodes. Distributing the decision-making to multiple orchestrator fog nodes instead of relying on the mapping of a single central entity helps to spread the load and increase scalability and, most importantly, resilience. The prototype system based on the proposed orchestrator model was implemented and tested with real hardware. The results show that the proposed model is efficient in terms of response latency and computational overhead, which are minimal compared to the placement algorithm itself. The research confirms that the proposed orchestrator approach is suitable for various fog network applications when scalability, mobility, and fault tolerance must be guaranteed.
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Dissertations / Theses on the topic "End-to-end service orchestration"

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Baranda, Hortigüela Jorge. "End-to-end network service orchestration in heterogeneous domains for next-generation mobile networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/672782.

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5G marks the beginning of a deep revolution in the mobile network ecosystem, transitioning to a network of services to satisfy the demands of new players, the vertical industries. This revolution implies a redesign of the overall mobile network architecture where complexity, heterogeneity, dynamicity, and flexibility will be the rule. Under such context, automation and programmability are essential to support this vision and overcome current rigid network operation processes. Software Defined Networking (SDN), Network Function Virtualization (NFV) and Network slicing are key enabling techniques to provide such capabilities. They are complementary, but they are still in its infancy and the synergies between them must be exploited to realise the mentioned vision. The aim of this thesis is to further contribute to its development and integration in next generation mobile networks by designing an end-to-end (E2E) network service orchestration (NSO) architecture, which aligned with some guidelines and specifications provided by main standardization bodies, goes beyond current management and orchestration (MANO) platforms to fulfil network service lifetime requirements in heterogeneous multi-technology/administrative network infrastructures shared by concurrent instances of diverse network services. Following a bottom-up approach, we start studying some SDN aspects related to the management of wireless network elements and its integration into hierarchical control architectures orchestrating networking resources in a multi-technology (wireless, optical, packet) infrastructure. Then, this work is integrated in an infrastructure manager module executing the joint resource abstraction and allocation of network and compute resources in distributed points of presence (PoPs) connected by a transport network, aspect which is not (or lightly) handled by current MANO platforms. This is the module where the integration between NFV and SDN techniques is executed. This integration is commanded by a Service Orchestrator module, in charge of automating the E2E lifecycle management of network services implementing network slices (NS) based on the vertical requirements, the available infrastructure resources, and, while fulfilling service level agreement (SLA) also during run-time operation. This architecture, focused on single administrative domain (AD) scenarios, constitutes the first group of contributions of this thesis. The second group of contributions evolves this initial architecture to deal with the orchestration and sharing of NS and its network slice subnet instances (NSSIs) involving multiple ADs. The main differential aspect with current state-of-the-art solutions is the consideration of resource orchestration aspects during the whole orchestration process. This is fundamental to achieve the interconnection of NSSIs, hence making the E2E multi-domain orchestration and network slicing a reality in practice. Additionally, this work also considers SLA management aspects by means of scaling actions during run-time operation in such complex scenarios. The third group of contributions demonstrate the validity and applicability of the resulting architectures, workflows, and interfaces by implementing and evaluating them in real experimental infrastructures featuring multiple ADs and transport technologies interconnecting distributed computing PoPs. The performed experimentation considers network service definitions close to real vertical use cases, namely automotive and eHealth, which help bridging the gap between network providers and vertical industries stakeholders. Experimental results show that network service creation and scaling times in the order of minutes can be achieved for single and multi-AD scenarios, in line with 5G network targets. Moreover, these measurements serve as a reference for benchmarking the different operations involved during the network service deployment. Such analysis are limited in current literature.
5G marca el inicio de una gran revolución en las redes móviles, convirtiéndose en redes orientadas a servicios para satisfacer las demandas de nuevos actores, las industrias verticales. Esta revolución supone un rediseño total de la arquitectura de red donde la complejidad, heterogeneidad, dinamicidad y flexibilidad serán la norma. En este contexto, la automatización y programabilidad serán esenciales para superar los rígidos procesos actuales de operación de red. Las redes definidas por software (SDN), la virtualización de funciones de red (NFV) y el particionamiento de redes son técnicas clave para proporcionar dichas capacidades. Éstas son complementarias, pero aún recientes y sus sinergias se deben explotar para realizar la nueva visión. El objetivo de esta tesis es contribuir a su desarrollo e integración en la nuevas generaciones de redes móviles mediante el diseño de una arquitectura de orquestación de servicios de red (NSO) extremo a extremo (E2E), que alineada con algunas pautas y especificaciones de los principales organismos de estandarización, va más allá de los actuales sistemas de gestión y orquestación (MANO) para instanciar y garantizar los requisitos de los diversos servicios de red desplegados concurrentemente en infraestructuras heterogéneas compartidas que combinan múltiples tecnologías y dominios administrativos (AD). Siguiendo un enfoque ascendente, comenzamos a estudiar aspectos de SDN relacionados con la gestión de elementos de red inalámbricos y su integración en arquitecturas jerárquicas de orquestación de recursos de red en infraestructuras multi tecnología (inalámbrica, óptica, paquetes). Luego, este trabajo se integra en un módulo de administración de infraestructura que ejecuta de forma conjunta la abstracción y la asignación de recursos de red y computación en múltiples puntos de presencia (PoP) distribuidos conectados por una red de transporte, aspecto que no está (o ligeramente) considerado por los actuales sistemas MANO. Este módulo ejecuta la integración de las técnicas NFV y SDN. Esta integración está dirigida por el módulo Orquestador de Servicios, que automatiza la gestión E2E del ciclo de vida de los servicios de red implementando las diferentes particiones de red en base a los requisitos de los verticales, los recursos de infraestructura disponibles y mientras cumple los acuerdos de nivel de servicio (SLA) durante la operación del servicio. Esta arquitectura, centrada en escenarios con un único AD, forma el primer grupo de contribuciones de esta tesis. El segundo grupo de contribuciones evoluciona esta arquitectura abordando la orquestación y compartición de particiones de red y sus componentes (NSSIs) en escenarios con múltiples AD. La consideración detallada de aspectos de orquestación de recursos es el principal aspecto diferencial con la literatura. Esto es fundamental para la interconexión de NSSIs, haciendo realidad la orquestación E2E y el particionamiento de red en escenarios con múltiples AD. Además, se considera la gestión de SLA mediante acciones de escalado durante la operación del servicio en los escenarios mencionados. El tercer grupo de contribuciones valida las arquitecturas, procedimientos e interfaces resultantes pues se han implementado y evaluado sobre infraestructuras experimentales reales que presentan múltiples AD y tecnologías de transporte interconectando PoP distribuidos. Esta experimentación considera definiciones de servicios de red cercanos a casos de uso de verticales reales, como automoción y eHealth, ayudando a cubrir la brecha entre los proveedores de red y los verticales. Los resultados experimentales muestran que la creación y el escalado de servicios de red se pueden realizar en pocos minutos en escenarios con un único o múltiples ADs, en línea con los indicadores de red objetivos de 5G. Estas medidas, escasas en la literatura actual, sirven como referencia para caracterizar las diferentes operaciones involucradas durante el despliegue de servicios.
Arquitectura de computadors
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AVINO, GIUSEPPE. "Development and Performance Evaluation of Network Function Virtualization Services in 5G Multi-Access Edge Computing." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2875737.

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Silva, João Paulo Aires da. "Service Modelling and End-to-End Orchestration in 5G Networks." Master's thesis, 2019. https://hdl.handle.net/10216/122462.

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5G represents a new vision over the networks and the services provided, aiming at realizing not only an evolution of mobile broadband networks but also at delivering it in a comprehensive infrastructure. Designed to attend the higher throughput, connection density, and latency demanded by myriad areas such as industrial automation, wireless health services, delivery of content everywhere, significant improvements in automation and dynamicity are required. To allow for the necessary transformations, Network Function Virtualization (NFV) and Software Defined Networking (SDN) emerged as the major forwarding technologies towards flexible and programmable software networks. Supported by a Telco Cloud vision of operators' infrastructures and software-based assets, End-to-End flexibility, is one of the key features of 5G networks.Although the upgrade by Telecom Operators to NFV- and SDN-based networks is complex and costly, it is nonetheless recognized as necessary to allow for CapEx and OpEx reduction, lifecycle improvements and for successful 5G services deployments.However, this transition introduces considerable challenges due to initial resistance to the design, deployment and operations over infrastructures and services, and due to the hybrid and multi-domain networks and services, which include both NFV aligned systems and legacy systems.The concept of orchestration comprehends the main logic to automate, enforce and execute processes and actions over the services and infrastructure, and it can operate both an ETSI NFV layer and also an End-to-End layer. The latter, in particular, provides the control and vision which allows the hybrid infrastructures and services to be made flexible and automated.Platform solutions exist to tackle orchestration needs. While some limit orchestration to the ETSI aligned NFV Management and Orchestration (MANO) level, such as Open Source MANO, the Open Network Automation Platform, ONAP, realizes End-to-End orchestration. It is the platform which operates above the infrastructure layer, providing network automation capabilities.This dissertation aims at leveraging the ONAP platform by analyzing, validating and extending it's Service Orchestration capabilities in its support for 5G networks. It focuses on the development and implementation of algorithms defined by execution flows, following its initial deployment and validation as a network and services Orchestrator.
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Book chapters on the topic "End-to-end service orchestration"

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Blanco, Bego, Rubén Solozabal, Aitor Sanchoyerto, Javier López-Cuadrado, Elisa Jimeno, and Miguel Catalan-Cid. "Intelligent Orchestration of End-to-End Network Slices for the Allocation of Mission Critical Services over NFV Architectures." In Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops, 74–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49190-1_7.

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Hachinger, Stephan, Martin Golasowski, Jan Martinovič, Mohamad Hayek, Rubén Jesús García-Hernández, Kateřina Slaninová, Marc Levrier, et al. "Leveraging High-Performance Computing and Cloud Computing with Unified Big-Data Workflows: The LEXIS Project." In Technologies and Applications for Big Data Value, 159–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78307-5_8.

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AbstractTraditional usage models of Supercomputing centres have been extended by High-Throughput Computing (HTC), High-Performance Data Analytics (HPDA) and Cloud Computing. The complexity of current compute platforms calls for solutions to simplify usage and conveniently orchestrate computing tasks. These enable also non-expert users to efficiently execute Big Data workflows. In this context, the LEXIS project (‘Large-scale EXecution for Industry and Society’, H2020 GA 825532, https://lexis-project.eu) sets up an orchestration platform for compute- and data-intensive workflows. Its main objective is to implement a front-end and interfaces/APIs for distributed data management and workflow orchestration. The platform uses an open-source Identity and Access Management solution and a custom billing system. The data management API allows data ingestion and staging between various infrastructures. The orchestration API allows execution of workflows specified in extended TOSCA. LEXIS uses innovative technologies like YORC and Alien4Cloud for orchestration or iRODS/EUDAT-B2SAFE for data management, accelerated by Burst Buffers. Three pilot use cases from Aeronautics Engineering, Earthquake/Tsunami Analysis, and Weather and Climate Prediction are used to test the services. On the road towards longer-term sustainability, we are expanding this user base and aiming at the immersion of more Supercomputing centres within the platform.
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Kuriata, Andrzej, and Ramesh G. Illikkal. "Predictable Performance for QoS-Sensitive, Scalable, Multi-tenant Function-as-a-Service Deployments." In Agile Processes in Software Engineering and Extreme Programming – Workshops, 133–40. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58858-8_14.

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Abstract In this paper we present the results of our studies focused on enabling predictable performance for functions executing in scalable, multi-tenant Function-as-a-Service environments. We start by analyzing QoS and performance requirements and use cases from the point of view of End-Users, Developers and Infrastructure Owners. Then we take a closer look at functions’ resource utilization patterns and investigate functions’ sensitivity to those resources. We specifically focus on the CPU microarchitecture resources as they have significant impact on functions’ overall performance. As part of our studies we have conducted experiments to research the effect of co-locating different functions on the compute nodes. We discuss the results and provide an overview of how we have further modified the scheduling logic of our containers orchestrator (Kubernetes), and how that impacted functions’ execution times and performance variation. We have specifically leveraged the low-level telemetry data, mostly exposed by the Intel® Resource Director Technology (Intel® RDT) [1]. Finally, we provide an overview of our future studies, which will be centered around node-level resource allocations, further improving a function’s performance, and conclude with key takeaways.
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Stephens, R. Todd. "Design Considerations for a Corporate Cloud Service Catalog." In Advances in Business Information Systems and Analytics, 60–77. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8339-6.ch003.

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This chapter will focus on building an end user service cloud catalog which will bridge the gap from the design requirements to the technology delivery organization. Once in the hands of IT, a more traditional service catalog can be used to leverage the service orchestration and delivery components. The author examines designing, building, and reviewing the impact of a more end user focused service catalog. Success will be measured by reviewing the business metrics in order to show the criticality of great design techniques and using familiar models like e-commerce.
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Debeau, Eric, and Veronica Quintuna-Rodriguez. "ONAP." In Design Innovation and Network Architecture for the Future Internet, 212–49. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7646-5.ch008.

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The ever-increasing complexity of networks and services advocates for the introduction of automation techniques to facilitate the design, the delivery, and the operation of such networks and services. The emergence of both network function virtualization (NFV) and software-defined networks (SDN) enable network flexibility and adaptability which open the door to on-demand services requiring automation. In aim of holding the increasing number of customized services and the evolved capabilities of public networks, the open network automation platform (ONAP), which is in open source, particularly addresses automation techniques while enabling dynamic orchestration, optimal resource allocation capabilities, and end-to-end service lifecycle management. This chapter addresses the key ONAP features that can be used by industrials and operators to automatically manage and orchestrate a wide set of services ranging from elementary network functions (e.g., firewalls) to more complex services (e.g., 5G network slices).
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Siountri, Konstantina, Emmanouil Skondras, and Dimitrios D. Vergados. "Developing Smart Buildings Using Blockchain, Internet of Things, and Building Information Modeling." In Research Anthology on Convergence of Blockchain, Internet of Things, and Security, 366–81. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-7132-6.ch022.

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Building information modeling (BIM) is a revolutionary technology that provides all the necessary mechanisms to achieve end-to-end communication, data exchange and information sharing between project actors, leading to smarter outcomes for communities and more efficient projects for AEC service providers. 3D models generated in the context of engaging in the BIM process and as-delivered physical assets through building management systems (BMS) adopt Internet of Things (IoT) architectures and services. However, the orchestration of IoT devices in a highly modular environment with many moving parts and inter-dependencies between the stakeholders of this environment, lead to many security issues. This article focuses on applying novel technologies in the construction industry, such as BIM, IoT, and Blockchain, but also on examining their interconnection and interoperability on a proposed system architecture on a case of a building (museum), where efficient security, management and monitoring are considered crucial factors for the unobstructed operation of the organization that hosts.
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Gogouvitis, Spyridon V., Kleopatra G. Konstanteli, Dimosthenis Kyriazis, Gregory Katsaros, Tommaso Cucinotta, and Michael Boniface. "Workflow Management Systems in Distributed Environments." In Enterprise Resource Planning, 142–59. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4153-2.ch009.

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With the advent of Service Oriented Architectures, more applications are built in a distributed manner based on loose coupled services. In this context, Workflow Management Systems play an important role as they are the means to both define the processes that realize the application goals as well as implement the orchestration of the different services. The purpose of the chapter is to give an overview of various solutions regarding workflow semantics and languages, as well as their enactment within the scope of distributed systems. To this end, major focus is given to solutions that are aimed at Grid environments. Scheduling algorithms and advance reservation techniques are also discussed as these are among the hottest research topics in Workflow Management Systems.
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M., Deva Priya, Christy Jeba Malar A., Kaleeswaran D., Vijayarajeswari R., and Nithya L. "Artificial Intelligence and Machine Learning-Based Security Enforcement Techniques for 6G Communication." In Advances in Wireless Technologies and Telecommunication, 347–64. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9636-4.ch017.

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The next generation 6G era is considered to be highly coupled with intelligent network management and orchestration, while 5G is completely renowned for micro-service architecture-based network cloudification. 6G has been revolutionized for satisfying the mandatory services and carry forwarding the potentialities of 5G to superior and intelligent level. 6G network structure is determined to be dynamic, densely deployed and extremely heterogeneous, and when integrated with a high degree of Quality of Service (QoS) completely transforms the complex architecture into a seamless operating process of classical networks. The immense role of Artificial Intelligence (AI) and Machine Learning (ML) is required for improving the paradigm of 6G for learning information from uncertain and dynamic environments. This integration of AI and 6G resembles a double-edged sword since the application of AI may positively influences the privacy or security of 6G on one side, and negatively introduces the possibility of security infringement into 6G on the other side. In specific, the self-sustaining networks in 6G are obtained by guaranteed application of intelligent security attack mitigation schemes and proactive threat discovery approaches that facilitate end-to-end future network automation. In this Chapter, a comprehensive review of AI and ML-based security enforcement techniques are contributed for improving reliability during robust data dissemination in 6G communications. It presents consolidated and solidified role of AI and ML towards the enforcement of security in 6G networks. In addition, it also demonstrates the challenges and solutions that are handled by the inclusion of AI and ML-based attack mitigation approaches concerning energy and security-based ultra-massive access.
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Kotzab, Herbert. "Contemporary IT-Assisted Retail Management." In Encyclopedia of Information Science and Technology, First Edition, 540–45. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-553-5.ch095.

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Retailing can be defined as a set of specific business processes that add value to products and services sold to end users (e.g., Levy & Weitz, 2003). Such retail business processes refer to marketing processes (like assortment in order to provide end users with a required mix of products and services in terms of quantity as well as quality; and advice, advertising, and credit processes, which ease the purchase for end users, for example, offering special payment modes or informing end users about the offers) and logistics processes (such as transportation, breaking bulk, and inventory handling). The orchestration of these functions leads to various types of retail formats such as store-based retailers (e.g., supermarkets, hypermarkets, or category killers), non-store-based retailers (e.g., mail-order retailing or electronic commerce), and hybrid retailers (e.g., home delivery services or party sales services; Coughlan, Anderson, Stern, & El-Ansary, 2001).
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Conference papers on the topic "End-to-end service orchestration"

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Mechtri, Marouen, Chaima Ghribi, Oussama Soualah, and Djamal Zeghlache. "ETSO: End-To-End SFC Orchestration Framework." In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). IEEE, 2017. http://dx.doi.org/10.23919/inm.2017.7987405.

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Carapinha, Jorge, Marco Di Girolamo, Giuseppe Monteleone, Aurora Ramos, and George Xilouris. "VNFaaS with End-to-End Full Service Orchestration." In 2016 Fifth European Workshop on Software-Defined Networks (EWSDN). IEEE, 2016. http://dx.doi.org/10.1109/ewsdn.2016.19.

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Josa, J. M. Gran, V. Lopez, F. Slyne, M. Ruffini, R. Vilalta, A. Mayoral, R. Munoz, R. Casellas, and R. Martinez. "End-to-end service orchestration from access to backbone." In 2016 International Conference on Optical Network Design and Modeling (ONDM). IEEE, 2016. http://dx.doi.org/10.1109/ondm.2016.7494064.

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Rotsos, Charalampos, Arsham Farshad, Nicholas Hart, Alejandro Aguado, Sarvesh Bidkar, Kyriakos Sideris, Daniel King, et al. "Baguette: Towards End-to-End Service Orchestration in Heterogeneous Networks." In 2016 15th International Conference on Ubiquitous Computing and Communications and 2016 International Symposium on Cyberspace and Security (IUCC-CSS). IEEE, 2016. http://dx.doi.org/10.1109/iucc-css.2016.035.

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Hayashi, Michiaki, Nobutaka Matsumoto, Takahiro Miyamoto, and Hideaki Tanaka. "Orchestration of heterogeneous virtualized resources for end-to-end service control." In NOMS 2008 - 2008 IEEE Network Operations and Management Symposium. IEEE, 2008. http://dx.doi.org/10.1109/noms.2008.4575175.

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Bonafiglia, Roberto, Gabriele Castellano, Ivano Cerrato, and Fulvio Risso. "End-to-end service orchestration across SDN and cloud computing domains." In 2017 IEEE Conference on Network Softwarization (NetSoft). IEEE, 2017. http://dx.doi.org/10.1109/netsoft.2017.8004234.

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Rosa, Raphael V., and Christian Esteve Rothenberg. "End-to-End Network Slices: From Network Function Profiles to Fine-Grained SLAs." In XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbrc_estendido.2019.7790.

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Towards end-to-end network slicing, diverse envisioned 5G services (eg, augmented reality, vehicular communications, IoT) Call for advanced multi-administrative domain service deployments, open challenges from vertical Agreement (SLA) -based orchestration hazards. Through different proposed methodologies and demonstrated prototypes, this work showcases: the automated extraction of network function profiles; the manners to analyze how such profiles compose programmable network slice footprints; and the means to perform fine-grained auditable SLAs for end-to-end network slicing among multiple administrative domains. Sustained on state-of-the-art networking concepts, this work presents contributions by detecting roots on standardization efforts and best-of-breed open source embodiments, each one standing prominent future work topics in shape of its shortcomings.
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Velasco, Luis, Lluis Gifre, and Alberto Castro. "Brokered orchestration for end-to-end service provisioning across heterogeneous multi-operator networks." In 2017 19th International Conference on Transparent Optical Networks (ICTON). IEEE, 2017. http://dx.doi.org/10.1109/icton.2017.8025183.

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Tan, Yanxia, Yong Zhang, Yanlei Zheng, Yacheng Liu, Guangquan Wang, and Yuefeng Ji. "Experimental Demonstration of End-to-End Service Orchestration Architecture based on Northbound API." In 2021 International Conference on Networking and Network Applications (NaNA). IEEE, 2021. http://dx.doi.org/10.1109/nana53684.2021.00046.

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Chiu, Yi-Sung, Li-Hsing Yen, Tse-Han Wang, and Chien-Chao Tseng. "A Cloud Native Management and Orchestration Framework for 5G End-to-End Network Slicing." In 2022 IEEE International Conference on Service-Oriented System Engineering (SOSE). IEEE, 2022. http://dx.doi.org/10.1109/sose55356.2022.00014.

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