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Placement of SaaS Components in Cloud Computing Environment: A genetic algorithm approach - Tapa blanda

Kumar, Alok; Sahoo, Bibhudatta

 
9783659554049: Placement of SaaS Components in Cloud Computing Environment: A genetic algorithm approach
Tapa blanda
ISBN 10: 3659554049 ISBN 13: 9783659554049
Editorial: LAP LAMBERT Academic Publishing, 2014

Sinopsis

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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Reseña del editor

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

Biografía del autor

ALOK KUMAR received M. Tech. (Computer Sc. & Engineering) from NIT Rourkela in 2014. His research interests are distributed systems, software testing, and software architecture.Dr. BIBHUDATTA SAHOO is assistant professor in computer science at NIT Rourkela. His research areas are parallel & distributed systems, networks, computational machines.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3659554049
ISBN 13 
9783659554049
Encuadernación
Tapa blanda
Número de páginas
68
Contacto del fabricante
no disponible
Persona responsable
no disponible