Correlative analysis on cloud resource management with aid of hybrid techniques in data intensive cloud platforms

Abstract

newline quotCloud computing is growing paradigm concerned with computing resources, offered over the internet platform which is scalable and on-demand (web) services. The computing framework also offers different types of utilities to the IT industries. The most complex task to have the ability to find different resources is available at multiple virtual clouds. The proposed work investigates the problem of locating resources which is multi variant in nature. It also used to locate the relevant dimensions of resources which are avail at the same cloud. The Framework newlineaddresses the random projection methodology applied on each cloud and discovers the possible resources, the outcome of each iteration updated on collision matrix. All the discovered elements are updated at the Management fabric. This model also enumerates the feasibility on discovering different types of resources available each cloud. newlineIn the second work, The Honey bee agent based model will discover the cloud services on multiple levels. The original contributions of this effort includes: newlinei) developing an employee forager bee agent search model for private and dedicated newlinecloud resource discovery, ii) deploying the Scout bee agent based on discovery newlinemechanism for unknown cloud sources, and iii) The knowledge incurred through newline waggle dancing mechanism the Onlooker bee agents will find the unknown cloud newlinesources and collected resources are clustered by resource cluster methods. The newlineHoney bee agent has cooperative work nature can be efficiently deployed for newlinemechanize cloud service discovery.. newlinequot newline