Paper Info
Title
Dynamic Service Assignment based on Proportional Ordering for the Adaptive Resource Management of Cloud Systems.
Abstract
The key issue in providing fast and reliable access on cloud services is the effective management of resources in a cloud system. However, the high variation in cloud service access rates affects the system performance considerably when there are no default routines to handle this type of occurrence. Adaptive techniques are used in resource management to support robust systems and maintain well-balanced loads within the servers. This paper presents an adaptive resource management for cloud systems which supports the integration of intelligent methods to promote quality of service (QoS) in provisioning of cloud services. A technique of dynamically assigning cloud services to a group of cloud servers is proposed for the adaptive resource management. Initially, cloud services are collected based on the excess cloud services load and then these are deployed to the assigned cloud servers. The assignment function uses the proposed proportional ordering which efficiently assigns cloud services based on its resource consumption. The difference in resource consumption rate in all nodes is analyzed periodically which decides the execution of service assignment. Performance evaluation showed that the proposed dynamic service assignment (DSA) performed best in throughput performance compared to other resource allocation algorithms.
Year
DOI
Venue
2011
10.3837/tiis.2011.12.002
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Keywords
Field
DocType
Cloud computing,resource allocation,migration,load balancing,adaptive system
Resource management,Panorama9,Computer science,Server,Quality of service,Computer network,Provisioning,Resource allocation,Cloud testing,Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
5
12
1976-7277
Citations 
PageRank 
References 
1
0.64
2
Authors
2
Name
Order
Citations
PageRank
Romeo Mark A. Mateo1377.20
Jaewan Lee26214.66