An Effective Resource Management for Cloud Services using Clustering Schemes
Jin-Mook Kim, Jeong-Kyung Moon, Bong‐Hwa Hong · Advanced Science and Technology Letters · 2013
Google proposed cloud computing concept in last 2006. And the interests of cloud service are rising rapidly. According to Gartner group's investigation, development view of cloud service is very hopeful. However, Skeptical sight is presented. If they don't support immigration and management schemes of existent IT resources then can't guarantee hopeful future about cloud service. Therefore, we are going to propose the way (AERMCS2: An Efficient Resource Management for Cloud Services using Clustering Schemes) that can manage IT resources effectively using existent clustering method for cloud service in this paper. AERMCS2 uses clustering concept and existing IT resources compose a cluster group. And act like single computer that compose a clustering and is done virtualized to solve user's request. We set two cluster groups in this research. First cluster group composes because have different hardware specification and make use of 5 computers that have high hardware specification. Second cluster group composes by 5 computers that have equal hardware specification and hardware specification is lower. We propose a scenario experiment using Hadoop that is cloud computing simulator to show efficiency. When manage IT resources using AERMCS2 that we was propose, existent IT resources re-usability is high. Process time was shorted more than double when compose clustering to computer groups which have equal hardware specification and use our scheme against of general cloud service.