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    Vertical and horizontal elasticity for dynamic virtual machine reconfiguration

    Sotiriadis, Stelios and Bessis, N. and Amza, C. and Buyya, R. (2016) Vertical and horizontal elasticity for dynamic virtual machine reconfiguration. IEEE Transactions on Services Computing PP (99), p. 1. ISSN 1939-1374.

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    Abstract

    Today, cloud computing applications are rapidly constructed by services belonging to different cloud providers and service owners. This work presents the inter-cloud elasticity framework, which focuses on cloud load balancing based on dynamic virtual machine reconfiguration when variations on load or on user requests volume are observed. We design a dynamic reconfiguration system, called inter-cloud load balancer (ICLB), that allows scaling up or down the virtual resources (thus providing automatized elasticity), by eliminating service downtimes and communication failures. It includes an inter-cloud load balancer for distributing incoming user HTTP traffic across multiple instances of inter-cloud applications and services and we perform dynamic reconfiguration of resources according to the real time requirements. The experimental analysis includes different topologies by showing how real-time traffic variation (using real world workloads) affects resource utilization and by achieving better resource usage in inter-cloud.

    Metadata

    Item Type: Article
    Additional Information: (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
    Keyword(s) / Subject(s): Cloud computing, Elasticity, Load management, Real-time systems, Resource management, Scalability, Throughput, Cloud Computing, Cloud Elasticity, Cloud Load Balancing, Horizontal Scalability, Inter-Cloud, Vertical Scalability
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 09 Apr 2018 14:00
    Last Modified: 09 Aug 2023 12:43
    URI: https://eprints.bbk.ac.uk/id/eprint/21929

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