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SLA-based resource provisioning for heterogeneous workloads in a virtualized cloud datacenter
Citation
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
Abstract
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 |
Downloads: | 0 |
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