Paper Info
Title
ScHeduling of jobs and Adaptive Resource Provisioning (SHARP) approach in cloud computing
Abstract
Affordability of appropriate computing resources for satisfying prerequisites of Service Level Agreement (SLA) of clients and optimal utilization of cloud service providers are limited in the present scenario of cloud computing. To overcome these limitations, researchers have exploited various scheduling algorithms to process the deadline based autonomous jobs. The scheduling algorithms however do not support multiprocessor demand and adaptive resource provisioning. This inference triggers to propose a new approach called ScHeduling of jobs and Adaptive Resource Provisioning (SHARP) in cloud computing to handle independent jobs that processes the jobs in a multilevel manner. The SHARP approach embeds multiple criteria decision analysis to preprocess the jobs, multiple attribute job scheduling to prioritize the jobs and adaptive resource provisioning to provide resources dynamically. These contributions alleviate SLA violations in terms of deadline, upgrade client satisfaction and enhance resource utilization. The empirical studies verify the proposed approach in a cloud environment and show the necessity of the proposed approach to support elastic resource provisioning and meet SLA requirements.
Year
DOI
Venue
2018
10.1007/s10586-017-0976-3
Cluster Computing
Keywords
Field
DocType
Cloud computing, Job scheduling, Backfilling algorithm, Elastic resource provisioning, Resource utilization
Customer satisfaction,Multiple-criteria decision analysis,Computer science,Scheduling (computing),Service-level agreement,Provisioning,Multiprocessing,Real-time computing,Job scheduler,Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
21
1
1573-7543
Citations 
PageRank 
References 
2
0.38
32
Authors
2
Name
Order
Citations
PageRank
Dinesh Komarasamy150.76
Vijayalakshmi Muthuswamy272.14