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Performance evaluation of dynamic cloud resource migration based on temporal and capacity-aware policy for efficient resource sharing

Published: 03 November 2013 Publication History

Abstract

This paper elaborates on practical considerations, such as location and capacity issues to offload resources, by adopting a rack based approach for the implementation. The proposed cooperative migration of resources enables efficient resource manipulation without any intermittent execution of the claimed tasks by the mobile devices, while it significantly reduces crash failures that lead all servers to become unavailable within a rack. In addition, this paper presents a modular resource migration scheme for failure-aware resource allocation, where according to the estimated performance of the resource sharing process (e.g. access time, service delay etc.) resources are migrated to another cloud rack based on the associated performance-oriented metrics. The proposed architecture is thoroughly evaluated through simulation tests for the resource migration policy used in the context of cloud rack failures for delay-bounded resource availability of mobile users, as well as for the efficiency of the proposed resource migration scheme.

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    cover image ACM Conferences
    HP-MOSys '13: Proceedings of the 2nd ACM workshop on High performance mobile opportunistic systems
    November 2013
    98 pages
    ISBN:9781450323727
    DOI:10.1145/2507908
    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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    Published: 03 November 2013

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    Author Tags

    1. capacity data-centre management
    2. cloud rack offloading
    3. cloud resource migration
    4. dynamic mobile migration
    5. failure-aware resource allocation
    6. mobile cloud performance

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    HP-MOSys '13 Paper Acceptance Rate 13 of 35 submissions, 37%;
    Overall Acceptance Rate 13 of 35 submissions, 37%

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    • (2019)Using Socio-Spatial Context in Mobile Cloud Process Offloading for Energy Conservation in Wireless DevicesIEEE Transactions on Cloud Computing10.1109/TCC.2015.25117367:2(392-402)Online publication date: 1-Apr-2019
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    • (2016)Mobile Cloud Resource ManagementMobile Computing and Wireless Networks10.4018/978-1-4666-8751-6.ch014(300-326)Online publication date: 2016
    • (2016)Towards Mobile Cloud Computing in 5G Mobile Networks: Applications, Big Data Services and Future OpportunitiesAdvances in Mobile Cloud Computing and Big Data in the 5G Era10.1007/978-3-319-45145-9_3(43-62)Online publication date: 20-Nov-2016
    • (2016)Handling Big Data in the Era of Internet of Things (IoT)Advances in Mobile Cloud Computing and Big Data in the 5G Era10.1007/978-3-319-45145-9_1(3-22)Online publication date: 20-Nov-2016
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