optimal joint multiple resource allocation methods for cloud computing environments
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Cloud computing provides a shared pool of resources, including data storage space, networks, computer processing power, and specialized corporate and user applications. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources. To provide cloud computing services economically, it is important to optimize resource allocation under the assumption that the required resource can be taken from a shared resource pool. In addition, to be able to provide processing ability and storage capacity, it is necessary to allocate bandwidth to access them at the same time. It develops a resource allocation model of cloud computing environments, assuming both processing ability and bandwidth are allocated simultaneously to each service request and rented out on an hourly basis. The allocated resources are dedicated to each service request. Next, the proposes an optimal joint multiple resource allocation method, based on the above resource allocation model. Resource allocation task is ranked by the pair wise comparison matrix technique and the Analytic Hierarchy Process giving the available resources and user preferences. Essential to optimize resource allocation under the assumption that the required amount of resource can be taken from a common resource pool and rented out to the user on an hourly basis. A Cloud is a type of parallel and distributed system consisting of a collection of interconnected and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements established through negotiation between the service provider and consumers.”Computing resources, either software or hardware, are virtualized and allocated as services from providers to users. The computing resources can be allocated dynamically upon the requirements and preferences of consumers.
Tags: 2012, Java, Network Projects