Paper Info
Title
Semantic-enabled CARE Resource Broker (SeCRB) for managing grid and cloud environment
Abstract
Grid computing is mainly helpful for executing high-performance computing applications. However, conventional grid resources sometimes fail to offer a dynamic application execution environment and this increases the rate at which the job requests of users are rejected. Integrating emerging virtualization technologies in grid and cloud computing facilitates the provision of dynamic virtual resources in the required execution environment. Resource brokers play a significant role in managing grid and cloud resources as well as identifying potential resources that satisfy users' application requests. This research paper proposes a semantic-enabled CARE Resource Broker (SeCRB) that provides a common framework to describe grid and cloud resources, and to discover them in an intelligent manner by considering software, hardware and quality of service (QoS) requirements. The proposed semantic resource discovery mechanism classifies the resources into three categories viz., exact, high-similarity subsume and high-similarity plug-in regions. To achieve the necessary user QoS requirements, we have included a service level agreement (SLA) negotiation mechanism that pairs users' QoS requirements with matching resources to guarantee the execution of applications, and to achieve the desired QoS of users. Finally, we have implemented the QoS-based resource scheduling mechanism that selects the resources from the SLA negotiation accepted list in an optimal manner. The proposed work is simulated and evaluated by submitting real-world bio-informatics and image processing application for various test cases. The result of the experiment shows that for jobs submitted to the resource broker, job rejection rate is reduced while job success and scheduling rates are increased, thus making the resource management system more efficient.
Year
DOI
Venue
2014
10.1007/s11227-013-1047-z
The Journal of Supercomputing
Keywords
Field
DocType
Cloud computing,Grid computing,High-performance computing (HPC),Resource broker,Semantic description,Semantic discovery,Service level agreement (SLA)
Virtualization,Grid computing,Computer science,Service-level agreement,Quality of service,Computer network,Resource Management System,Utility computing,Semantic grid,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
68
2
0920-8542
Citations 
PageRank 
References 
8
0.51
25
Authors
4
Name
Order
Citations
PageRank
Thamarai Selvi Somasundaram19610.15
Kannan Govindarajan215013.37
Usha Kiruthika3141.31
Rajkumar Buyya4232081340.23