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Placement of SaaS Components in Cloud Computing Environment

AUTHOR Kumar, Alok; Sahoo, Bibhudatta; Kumar Alok
PUBLISHER LAP Lambert Academic Publishing (06/17/2014)
PRODUCT TYPE Paperback (Paperback)

Description
The SaaS deployment is the installation to delivery of software services in cloud computing infrastructure. SaaS deployment is initiated by a cloud service provider via a user requesting process, which is generally automated. SaaS is a combination of different type of components; application component, integration component, business component, and storage component. Component placement problem (CPP) concerns with finding the optimum set of VMs on which SaaS components can be placed such that all user requirements should be satisfied and maximizes the profit of the SaaS providers. In CPP, the solution of the problem is subject to a set of resource and SLA constraints. The CPP is presented as a linear programming problem. The CPP has been proven by researchers as an NP-complete, hence the Genetic Algorithm approach has been used to produce sub optimal solution
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Product Details
ISBN-13: 9783659554049
ISBN-10: 3659554049
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
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Page Count: 68
Carton Quantity: 104
Product Dimensions: 6.00 x 0.16 x 9.00 inches
Weight: 0.25 pound(s)
Country of Origin: US
Subject Information
BISAC Categories
Computers | General
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The SaaS deployment is the installation to delivery of software services in cloud computing infrastructure. SaaS deployment is initiated by a cloud service provider via a user requesting process, which is generally automated. SaaS is a combination of different type of components; application component, integration component, business component, and storage component. Component placement problem (CPP) concerns with finding the optimum set of VMs on which SaaS components can be placed such that all user requirements should be satisfied and maximizes the profit of the SaaS providers. In CPP, the solution of the problem is subject to a set of resource and SLA constraints. The CPP is presented as a linear programming problem. The CPP has been proven by researchers as an NP-complete, hence the Genetic Algorithm approach has been used to produce sub optimal solution
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