A metaheuristic method for joint task scheduling and virtual machine placement in cloud data centers

ALBOANEEN, Dabiah, TIANFIELD, Huaglory, ZHANG, Yan and PRANGGONO, Bernardi (2020). A metaheuristic method for joint task scheduling and virtual machine placement in cloud data centers. Future Generation Computer Systems, 115, 201-212.

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Link to published version:: https://doi.org/10.1016/j.future.2020.08.036
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    Abstract

    The virtual machine (VM) allocation problem is one of the main issues in the cloud data centers. This article proposes a new metaheuristic method to optimize joint task scheduling and VM placement in the cloud data center called JTSVMP. The JTSVMP problem composed of two parts, namely task scheduling and VM placement, is carried out by using metaheuristic optimization algorithms (MOAs). The proposed method aims to schedule task into the VM which has the least execution cost within deadline constraint and then place the selected VM on most utilized physical host (PH) within capacity constraint. To evaluate the performance of the proposed method, we compare the performance of task scheduling algorithms only with others that integrate both task scheduling and VM placement using MOAs, namely the basic glowworm swarm optimization (GSO), moth-flame glowworm swarm optimization (MFGSO) and genetic algorithm (GA). Simulation results show that optimizing joint task scheduling and VM placement algorithm leads to better overall results in terms of minimizing execution cost, makespan and degree of imbalance and maximizing PHs resource utilization.

    Item Type: Article
    Additional Information: ** Article version: AM ** Embargo end date: 31-12-9999 ** From Elsevier via Jisc Publications Router ** Licence for AM version of this article: This article is under embargo with an end date yet to be finalised. **Journal IDs: issn 0167739X **History: issue date 11-09-2020; accepted 25-08-2020
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Centre for Health and Social Care Research
    Identification Number: https://doi.org/10.1016/j.future.2020.08.036
    Page Range: 201-212
    SWORD Depositor: Colin Knott
    Depositing User: Colin Knott
    Date Deposited: 14 Sep 2020 14:39
    Last Modified: 23 Sep 2020 10:45
    URI: http://shura.shu.ac.uk/id/eprint/27210

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