A Study on Autonomic Placement and Resource Management with Cloud Workloads

Provided by: International Journal of Advanced Research in Computer Engineering & Technology
Topic: Cloud
Format: PDF
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.

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