Planning of Sustainable Data Centers with High Availability

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An Integrated Modeling Approach to Evaluate and Optimize Sustainability, Dependability and Cost of Data Center Systems

ISBN: 3659580724
ISBN 13: 9783659580727
Autor: Rau de Almeida Callou, Gustavo
Verlag: LAP LAMBERT Academic Publishing
Umfang: 172 S.
Erscheinungsdatum: 05.10.2014
Auflage: 1/2014
Format: 1.1 x 22 x 15
Gewicht: 274 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 7358083 Kategorie:

Beschreibung

The advent of services such as cloud computing, social networks and e-commerce has led to an increased demand for computer resources from data centers. Prominent issues for data center designers are sustainability, cost, and dependability, which are significantly affected by the redundant architectures required to support these services. Within this context, models are important tools for designers when attempting to quantify these issues before implementing the final architecture. This book proposes a set of models for the integrated quantification of the sustainability impact, cost, and dependability of data center power and cooling infrastructures. This is achieved with the support of an evaluation environment which is composed of ASTRO, Mercury and Optimization tools. The approach taken to perform the system dependability evaluation employs a hybrid modeling strategy which recognizes the advantages of both stochastic Petri nets and reliability block diagrams. Besides that, a model is proposed to verify that the energy flow does not exceed the maximum power capacity that each component can provide (considering electrical devices) or extract (assuming cooling equipment).

Autorenporträt

He received his M.Sc. as well as Ph.D. degrees in Computer Science from Federal University of Pernambuco. Since 2013 he has been an Associate Professor of the Department of Statistics and Informatics from Federal Rural University of PE. His research interests are formal models, performance and dependability evaluation, sustainability and Petri nets

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