Utility Driven Elastic Services
International audience To address the requirements of scalability it has become a common practice to deploy large scale services over infrastructures of non-dedicated servers, multiplexing instances of multiple services at a fine grained level. This tendency has recently been popularized thanks to t...
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ftifiphal:oai:HAL:hal-01583573v1 2024-05-12T08:05:56+00:00 Utility Driven Elastic Services Chacin, Pablo Navarro, Leando Universitat Politècnica de Catalunya = Université polytechnique de Catalogne Barcelona (UPC) Pascal Felber Romain Rouvoy TC 6 WG 6.1 Reykjavik, Iceland 2011-06-06 https://inria.hal.science/hal-01583573 https://inria.hal.science/hal-01583573/document https://inria.hal.science/hal-01583573/file/978-3-642-21387-8_10_Chapter.pdf https://doi.org/10.1007/978-3-642-21387-8_10 en eng HAL CCSD Springer info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-21387-8_10 hal-01583573 https://inria.hal.science/hal-01583573 https://inria.hal.science/hal-01583573/document https://inria.hal.science/hal-01583573/file/978-3-642-21387-8_10_Chapter.pdf doi:10.1007/978-3-642-21387-8_10 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess Lecture Notes in Computer Science 11th Distributed Applications and Interoperable Systems (DAIS) https://inria.hal.science/hal-01583573 11th Distributed Applications and Interoperable Systems (DAIS), Jun 2011, Reykjavik, Iceland. pp.122-135, ⟨10.1007/978-3-642-21387-8_10⟩ Web Services QoS Epidemic Algorithm Overlay Self-adaptive [INFO]Computer Science [cs] [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] info:eu-repo/semantics/conferenceObject Conference papers 2011 ftifiphal https://doi.org/10.1007/978-3-642-21387-8_10 2024-04-16T02:36:36Z International audience To address the requirements of scalability it has become a common practice to deploy large scale services over infrastructures of non-dedicated servers, multiplexing instances of multiple services at a fine grained level. This tendency has recently been popularized thanks to the utilization of virtualization technologies. As these infrastructures become more complex, large, heterogeneous ad distributed, a manual allocation of resources becomes unfeasible and some form of self-management is required. However, traditional closed loop control mechanisms seems unsuitable for this platforms.The main contribution of this paper is the proposal of an Elastic Utility Driven Overlay Network (eUDON) for dynamically scaling the number of instances of a service to ensure a target QoS objective in highly dynamic large-scale infrastructures of non-dedicated servers. This overlay combines an application provided utility function to express the service’s QoS, with an epidemic protocol for state information dissemination, and simple local decisions on each instance to adapt to changes in the execution conditions. These elements give the overlay robustness, flexibility, scalability and a low overhead.We show, by means of simulation experiments, that the proposed mechanisms can adapt to a diverse range of situations like flash crowds and massive failures, while maintaining the QoS objectives of the service. Conference Object Iceland IFIP Open Digital Library (International Federation for Information Processing) 122 135 |
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IFIP Open Digital Library (International Federation for Information Processing) |
op_collection_id |
ftifiphal |
language |
English |
topic |
Web Services QoS Epidemic Algorithm Overlay Self-adaptive [INFO]Computer Science [cs] [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] |
spellingShingle |
Web Services QoS Epidemic Algorithm Overlay Self-adaptive [INFO]Computer Science [cs] [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] Chacin, Pablo Navarro, Leando Utility Driven Elastic Services |
topic_facet |
Web Services QoS Epidemic Algorithm Overlay Self-adaptive [INFO]Computer Science [cs] [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] |
description |
International audience To address the requirements of scalability it has become a common practice to deploy large scale services over infrastructures of non-dedicated servers, multiplexing instances of multiple services at a fine grained level. This tendency has recently been popularized thanks to the utilization of virtualization technologies. As these infrastructures become more complex, large, heterogeneous ad distributed, a manual allocation of resources becomes unfeasible and some form of self-management is required. However, traditional closed loop control mechanisms seems unsuitable for this platforms.The main contribution of this paper is the proposal of an Elastic Utility Driven Overlay Network (eUDON) for dynamically scaling the number of instances of a service to ensure a target QoS objective in highly dynamic large-scale infrastructures of non-dedicated servers. This overlay combines an application provided utility function to express the service’s QoS, with an epidemic protocol for state information dissemination, and simple local decisions on each instance to adapt to changes in the execution conditions. These elements give the overlay robustness, flexibility, scalability and a low overhead.We show, by means of simulation experiments, that the proposed mechanisms can adapt to a diverse range of situations like flash crowds and massive failures, while maintaining the QoS objectives of the service. |
author2 |
Universitat Politècnica de Catalunya = Université polytechnique de Catalogne Barcelona (UPC) Pascal Felber Romain Rouvoy TC 6 WG 6.1 |
format |
Conference Object |
author |
Chacin, Pablo Navarro, Leando |
author_facet |
Chacin, Pablo Navarro, Leando |
author_sort |
Chacin, Pablo |
title |
Utility Driven Elastic Services |
title_short |
Utility Driven Elastic Services |
title_full |
Utility Driven Elastic Services |
title_fullStr |
Utility Driven Elastic Services |
title_full_unstemmed |
Utility Driven Elastic Services |
title_sort |
utility driven elastic services |
publisher |
HAL CCSD |
publishDate |
2011 |
url |
https://inria.hal.science/hal-01583573 https://inria.hal.science/hal-01583573/document https://inria.hal.science/hal-01583573/file/978-3-642-21387-8_10_Chapter.pdf https://doi.org/10.1007/978-3-642-21387-8_10 |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Lecture Notes in Computer Science 11th Distributed Applications and Interoperable Systems (DAIS) https://inria.hal.science/hal-01583573 11th Distributed Applications and Interoperable Systems (DAIS), Jun 2011, Reykjavik, Iceland. pp.122-135, ⟨10.1007/978-3-642-21387-8_10⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-21387-8_10 hal-01583573 https://inria.hal.science/hal-01583573 https://inria.hal.science/hal-01583573/document https://inria.hal.science/hal-01583573/file/978-3-642-21387-8_10_Chapter.pdf doi:10.1007/978-3-642-21387-8_10 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1007/978-3-642-21387-8_10 |
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122 |
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135 |
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