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    Virtual machine cluster mobility in inter-cloud platforms

    Sotiriadis, Stelios and Bessis, N. and Petrakis, E.G.M. and Amza, C. and Negru, C. and Mocanu, M. (2017) Virtual machine cluster mobility in inter-cloud platforms. Future Generation Computer Systems 74 , 179 - 189. ISSN 0167-739X.

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    Abstract

    Modern cloud computing applications developed from different interoperable services that are interfacing with each other in a loose coupling approach. This work proposes the concept of the Virtual Machine (VM) cluster migration, meaning that services could be migrated to various clouds based on different constraints such as computational resources and better economical offerings. Since cloud services are instantiated as VMs, an application can be seen as a cluster of VMs that integrate its functionality. We focus on the VM cluster migration by exploring a more sophisticated method with regards to VM network configurations. In particular, networks are hard to managed because their internal setup is changed after a migration, and this is related with the configuration parameters during the re-instantiation to the new cloud platform. To address such issue, we introduce a Software Defined Networking (SDN) service that breaks the problem of network configuration into tractable pieces and involves virtual bridges instead of references to static endpoints. The architecture is modular, it is based on the SDN OpenFlow protocol and allows VMs to be paired in cluster groups that communicate with each other independently of the cloud platform that are deployed. The experimental analysis demonstrates migrations of VM clusters and provides a detailed discussion of service performance for different cases.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Cloud computing, Cloud portability, Cloud service mobility, Software defined architecture, Cloud service migration, VM cluster migration
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 09 Apr 2018 14:27
    Last Modified: 29 Jun 2020 06:35
    URI: https://eprints.bbk.ac.uk/id/eprint/21787

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