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Towards Efficient Resource Allocation for Heterogeneous Workloads in IaaS Clouds

Foh, CH, Wei, L, He, B and Cai, J (2016) Towards Efficient Resource Allocation for Heterogeneous Workloads in IaaS Clouds IEEE Transactions on Cloud Computing..

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Abstract

Infrastructure-as-a-service (IaaS) cloud technology has attracted much attention from users who have demands on large amounts of computing resources. Current IaaS clouds provision resources in terms of virtual machines (VMs) with homogeneous resource configurations where different types of resources in VMs have similar share of the capacity in a physical machine (PM). However, most user jobs demand different amounts for different resources. For instance, high-performance-computing jobs require more CPU cores while big data processing applications require more memory. The existing homogeneous resource allocation mechanisms cause resource starvation where dominant resources are starved while non-dominant resources are wasted. To overcome this issue, we propose a heterogeneous resource allocation approach, called skewness-avoidance multi-resource allocation (SAMR), to allocate resource according to diversified requirements on different types of resources. Our solution includes a VM allocation algorithm to ensure heterogeneous workloads are allocated appropriately to avoid skewed resource utilization in PMs, and a model-based approach to estimate the appropriate number of active PMs to operate SAMR. We show relatively low complexity for our modelbased approach for practical operation and accurate estimation. Extensive simulation results show the effectiveness of SAMR and the performance advantages over its counterparts.

Item Type: Article
Subjects : subj_Electronic_Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
AuthorsEmailORCID
Foh, CHUNSPECIFIEDUNSPECIFIED
Wei, LUNSPECIFIEDUNSPECIFIED
He, BUNSPECIFIEDUNSPECIFIED
Cai, JUNSPECIFIEDUNSPECIFIED
Date : 2016
Identification Number : 10.1109/TCC.2015.2481400
Copyright Disclaimer : (c) 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Depositing User : Symplectic Elements
Date Deposited : 08 Apr 2016 15:02
Last Modified : 15 Nov 2016 11:42
URI: http://epubs.surrey.ac.uk/id/eprint/810385

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