A Study on Autonomic Placement and Resource Management with Cloud Workloads
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 8
Abstract
With the advent of Cloud computing, with hosting and delivering the demanded services, enormous benefits were reaped by its users as capital expenditure on the computing resources is reduced to a very large extent. As cloud has its rising popularity for its services, the count of customers is also escalating at a higher level resulting in the need for framing novel techniques for managing the available resources with the providers effectively and also at the benefit of the customers such that their requirements are met. The workloads arrived at the cloud providers are of heterogeneous in nature. Hence it is necessary to arrive at automated decisions with the different types of workloads, may it be interactive or non interactive workload prevailing with an organization. This paper aims at making a detailed study of different approaches with autonomic placement and efficient and dynamic resource management techniques with different types of workloads in cloud
Authors and Affiliations
Ambika. T , Anathi. S , Dr. S. Karthik
Keywords
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