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Modeling and managing virtual network environments

Published: 19 September 2013 Publication History

Abstract

While the virtualization concept and its underlying technologies have been adopted in the computer networks field, as in many other Information Technology areas, a generic model of network virtualization environments (NVEs) has not, yet, been proposed. This lack of conceptual impression imposes limitations on the representation and management of these environments.
In this paper we propose a new modular and extensible conceptual model, based on Distributed Management Task Force's Common Information Model (DMTF CIM), which can be applied to most scenarios of NVE architectures. We, also, present a test case where the model is extended to include Statistical Process Control methods for guaranteed network performance delivery. In this example, an NVE spans different virtual server nodes, which provide its required resources, and this architecture is modeled and managed resulting in a mechanism to assess and control the overall resources consumption.

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Cited By

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  • (2017)A statistical approach to virtual server resource managementConcurrency and Computation: Practice and Experience10.1002/cpe.433530:4Online publication date: 29-Sep-2017
  • (2015)Statistics-driven datacenter resources provisioningProceedings of the 19th Panhellenic Conference on Informatics10.1145/2801948.2801971(185-190)Online publication date: 1-Oct-2015

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      cover image ACM Other conferences
      PCI '13: Proceedings of the 17th Panhellenic Conference on Informatics
      September 2013
      359 pages
      ISBN:9781450319690
      DOI:10.1145/2491845
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • University of Macedonia
      • Aristotle University of Thessaloniki
      • The University of Sheffield: The University of Sheffield
      • Alexander TEI of Thessaloniki

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 19 September 2013

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      Author Tags

      1. CIM
      2. SPC
      3. hypervisor
      4. modeling
      5. network virtualization
      6. statistical process control

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      PCI 2013
      Sponsor:
      • The University of Sheffield
      PCI 2013: 17th Panhellenic Conference on Informatics
      September 19 - 21, 2013
      Thessaloniki, Greece

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      Cited By

      View all
      • (2017)A statistical approach to virtual server resource managementConcurrency and Computation: Practice and Experience10.1002/cpe.433530:4Online publication date: 29-Sep-2017
      • (2015)Statistics-driven datacenter resources provisioningProceedings of the 19th Panhellenic Conference on Informatics10.1145/2801948.2801971(185-190)Online publication date: 1-Oct-2015

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