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SLA-based resource provisioning for heterogeneous workloads in a virtualized cloud datacenter


Garg, SK and Gopalaiyengar, SK and Buyya, R, SLA-based resource provisioning for heterogeneous workloads in a virtualized cloud datacenter, Lecture Notes in Computer Science Volume 7016: ICA3PP 2011, 24-26 October 2011, Melbourne, Australia, pp. 371-384. ISBN 978-3-642-24649-4 (2011) [Refereed Conference Paper]

Copyright Statement

Copyright 2011 Springer

DOI: doi:10.1007/978-3-642-24650-0_32


Efficient provisioning of resources is a challenging problem in cloud computing environments due to its dynamic nature and the need for supporting heterogeneous applications with different performance requirements. Currently, cloud datacenter providers either do not offer any performance guarantee or prefer static VM allocation over dynamic, which lead to inefficient utilization of resources. Earlier solutions, concentrating on a single type of SLAs (Service Level Agreements) or resource usage patterns of applications, are not suitable for cloud computing environments. In this paper, we tackle the resource allocation problem within a datacenter that runs different type of application workloads, particularly non-interactive and transactional applications. We propose admission control and scheduling mechanism which not only maximizes the resource utilization and profit, but also ensures the SLA requirements of users. In our experimental study, the proposed mechanism has shown to provide substantial improvement over static server consolidation and reduces SLA Violations.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Distributed systems and algorithms
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Garg, SK (Dr Saurabh Garg)
ID Code:93882
Year Published:2011
Deposited By:Information and Communication Technology
Deposited On:2014-08-20
Last Modified:2018-03-14

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