Paper Info
Title
An Approach for Detection of Overloaded Host to Consolidate Workload in Cloud Datacenter
Abstract
AbstractThis article describes the process of workload consolidation through detection of overloaded hosts in Cloud datacenter which leads to saving in energy consumption. Cloud computing is a novice paradigm where virtual resources are provisioned on pay-as-you-go basis. Upon receiving users' job requirement, it is mapped onto virtual resources running on hosts in datacenter. To achieve workload consolidation, it is required to detect the overloaded hosts. Overloaded host detection is carried out for balancing workload, creating a list of overloaded hosts which will be useful while placing VMs by not putting a VM on already overloaded host to reduce Service Level Agreement SLA violation and while checking the underloaded host, the overloaded hosts are omitted to reduce computational cost. Most common mechanism to detect overloaded hosts is to calculate upper threshold values based on hosts' utilization statically or dynamically. Most researchers recommend dynamic calculation of threshold values. In this research, the authors propose to use moving range MR method of variables control charts to calculate upper threshold. The experimentation results show that MR performs better in terms of reduction in SLA violation, minimization in VM migration.
Year
DOI
Venue
2018
10.4018/IJGHPC.2018040105
Periodicals
Keywords
Field
DocType
Cloud Computing, Energy Efficiency, Overloaded Host, Service Level Agreement, Workload Consolidation
Workload,Efficient energy use,Computer science,Service-level agreement,Computer network,Provisioning,Minification,Control chart,Energy consumption,Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
10
2
1938-0259
Citations 
PageRank 
References 
0
0.34
12
Authors
2
Name
Order
Citations
PageRank
Nimisha Patel131.73
Hiren D. Patel2608.56