Paper Info
Title
Ontology-based resource management for cloud computing
Abstract
Resource management is a challenging issue in cloud computing. This paper aims to allocate requested jobs to cloud resources suitable for cloud user requirements. To achieve the aim, this paper proposes an ontology-based job allocation algorithm for cloud computing to perform inferences based on semantic meanings. We extract resource candidates depending on user requirements and allocate a job to the most suitable candidate for an agreed Service Level Agreement (SLA). The cloud ontology allows the proposed system to define concepts and describe their relations. Hence, we can process complicated queries for searching cloud resources. To evaluate performance of our system, we conducted some experiments compared with the existing resource management algorithms. Experimental results verify that the ontology-based resource management system improves the efficiency of resource management for cloud computing.
Year
DOI
Venue
2011
10.1007/978-3-642-20042-7_35
ACIIDS
Keywords
Field
DocType
existing resource management algorithm,ontology-based job allocation algorithm,cloud user requirement,cloud computing,ontology-based resource management,resource candidate,proposed system,cloud resource,ontology-based resource management system,cloud ontology,resource management,ontology,user requirements,resource manager
Resource management,Computer science,Service-level agreement,Human resource management system,Cloud computing security,Resource allocation,Resource Management System,Cloud testing,Database,Cloud computing
Conference
Volume
ISSN
Citations 
6592
0302-9743
13
PageRank 
References 
Authors
0.64
8
3
Name
Order
Citations
PageRank
Yong Beom Ma1142.34
Sung-ho Jang2317.19
Jong Sik Lee37418.95