Assessment to support the planning of sustainable data centers with high availability

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 archite...

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Main Author: CALLOU, Gustavo Rau de Almeida
Other Authors: MACIEL, Paulo Romero Martins
Language:English
Published: Universidade Federal de Pernambuco 2015
Subjects:
Online Access:https://repositorio.ufpe.br/handle/123456789/12262
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record_format oai_dc
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language English
sources NDLTD
topic Redes de Petri
Diagrama de blocos de confiabilidade
Modelo de fluxo de energia
Sustentabilidade
Dependabilidade and arquiteturas de data center
Petri nets
Reliability block diagrams
Energy flow model
Sustainability
Dependability and data center architectures
spellingShingle Redes de Petri
Diagrama de blocos de confiabilidade
Modelo de fluxo de energia
Sustentabilidade
Dependabilidade and arquiteturas de data center
Petri nets
Reliability block diagrams
Energy flow model
Sustainability
Dependability and data center architectures
CALLOU, Gustavo Rau de Almeida
Assessment to support the planning of sustainable data centers with high availability
description 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 thesis 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). Additionally, an optimization method is proposed for improving the results obtained by Reliability Block Diagrams, Stochastic Petri nets and Energy Flow models through the automatic selection of the appropriate devices from a list of candidate components. This list corresponds to a set of alternative components that may compose the data center architecture. Several case studies are presented that analyze the environmental impact and dependability metrics as well as the operational energy cost of real-world data center power and cooling architectures. === Submitted by João Arthur Martins (joao.arthur@ufpe.br) on 2015-03-12T18:54:10Z No. of bitstreams: 2 Tese Gustavo Callou.pdf: 4626749 bytes, checksum: 336a34ffc39f6ac623fa1144de2a66bf (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) === Made available in DSpace on 2015-03-12T18:54:10Z (GMT). No. of bitstreams: 2 Tese Gustavo Callou.pdf: 4626749 bytes, checksum: 336a34ffc39f6ac623fa1144de2a66bf (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2013-11-12 === O surgimento de servi¸cos como computa¸c˜ao nas nuvens, redes sociais e com´ercio eletrˆonico tem aumentado a demanda por recursos computacionais dos data centers. Preocupa¸c˜oes decorrentes para os projetistas de data center s˜ao sustentabilidade, custo, e dependabilidade, os quais s˜ao significativamente afetados pelas arquiteturas redundantes requeridas para suportar tais servi¸cos. Nesse contexto, modelos s˜ao ferramentas importantes para projetistas quanto a tentativa de quantificar esses problemas antes mesmo de implementar a arquitetura final. Nessa tese, um conjunto de modelos ´e proposto para a quantifica¸c˜ao integrada do impacto na sustentabilidade, custo e dependabilidade das infraestruturas de refrigeramento e potˆencia de data centers. Isso ´e obtido com o suporte do ambiente de avalia¸c˜ao que ´e composto pelas ferramentas ASTRO, Mercury e o m´odulo de otimiza¸c˜ao. A avalia¸c˜ao de dependabilidade faz uso de uma estrat´egia de modelagem h´ıbrida que usa as vantagens tanto das redes de Petri estoc´asticas como dos diagramas de blocos de confiabilidade. Al´em disso, um modelo ´e proposto para realizar a verifica¸c˜ao se fluxo de energia n˜ao excede a capacidade m´axima de potˆencia que cada equipamento pode prover (considerando dispositivos el´etricos) ou extrair (assumindo equipamentos de refrigera¸c˜ao). Adicionalmente, um m´etodo de otimiza¸c˜ao ´e proposto para melhorar os resultados obtidos atrav´es dos diagramas de blocos de confiabilidade, das redes de Petri estoc´asticas e do modelo de fluxo de energia pela sele¸c˜ao autom´atica dos dispositivos apropriados a partir da lista de componentes candidatos. Essa lista corrresponde a um conjunto de componentes que podem ser utilizados para compor a arquitetura de data center. V´arios estudos de casos s˜ao apresentados para analisar o impacto ambiental, a dependabilidade e o custo operacional de energia el´etrica de arquiteturas reais de potˆencia e refrigera¸c˜ao de data centers.
author2 MACIEL, Paulo Romero Martins
author_facet MACIEL, Paulo Romero Martins
CALLOU, Gustavo Rau de Almeida
author CALLOU, Gustavo Rau de Almeida
author_sort CALLOU, Gustavo Rau de Almeida
title Assessment to support the planning of sustainable data centers with high availability
title_short Assessment to support the planning of sustainable data centers with high availability
title_full Assessment to support the planning of sustainable data centers with high availability
title_fullStr Assessment to support the planning of sustainable data centers with high availability
title_full_unstemmed Assessment to support the planning of sustainable data centers with high availability
title_sort assessment to support the planning of sustainable data centers with high availability
publisher Universidade Federal de Pernambuco
publishDate 2015
url https://repositorio.ufpe.br/handle/123456789/12262
work_keys_str_mv AT callougustavoraudealmeida assessmenttosupporttheplanningofsustainabledatacenterswithhighavailability
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spelling ndltd-IBICT-oai-repositorio.ufpe.br-123456789-122622019-01-21T19:16:48Z Assessment to support the planning of sustainable data centers with high availability CALLOU, Gustavo Rau de Almeida MACIEL, Paulo Romero Martins Redes de Petri Diagrama de blocos de confiabilidade Modelo de fluxo de energia Sustentabilidade Dependabilidade and arquiteturas de data center Petri nets Reliability block diagrams Energy flow model Sustainability Dependability and data center architectures 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 thesis 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). Additionally, an optimization method is proposed for improving the results obtained by Reliability Block Diagrams, Stochastic Petri nets and Energy Flow models through the automatic selection of the appropriate devices from a list of candidate components. This list corresponds to a set of alternative components that may compose the data center architecture. Several case studies are presented that analyze the environmental impact and dependability metrics as well as the operational energy cost of real-world data center power and cooling architectures. Submitted by João Arthur Martins (joao.arthur@ufpe.br) on 2015-03-12T18:54:10Z No. of bitstreams: 2 Tese Gustavo Callou.pdf: 4626749 bytes, checksum: 336a34ffc39f6ac623fa1144de2a66bf (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Made available in DSpace on 2015-03-12T18:54:10Z (GMT). No. of bitstreams: 2 Tese Gustavo Callou.pdf: 4626749 bytes, checksum: 336a34ffc39f6ac623fa1144de2a66bf (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2013-11-12 O surgimento de servi¸cos como computa¸c˜ao nas nuvens, redes sociais e com´ercio eletrˆonico tem aumentado a demanda por recursos computacionais dos data centers. Preocupa¸c˜oes decorrentes para os projetistas de data center s˜ao sustentabilidade, custo, e dependabilidade, os quais s˜ao significativamente afetados pelas arquiteturas redundantes requeridas para suportar tais servi¸cos. Nesse contexto, modelos s˜ao ferramentas importantes para projetistas quanto a tentativa de quantificar esses problemas antes mesmo de implementar a arquitetura final. Nessa tese, um conjunto de modelos ´e proposto para a quantifica¸c˜ao integrada do impacto na sustentabilidade, custo e dependabilidade das infraestruturas de refrigeramento e potˆencia de data centers. Isso ´e obtido com o suporte do ambiente de avalia¸c˜ao que ´e composto pelas ferramentas ASTRO, Mercury e o m´odulo de otimiza¸c˜ao. A avalia¸c˜ao de dependabilidade faz uso de uma estrat´egia de modelagem h´ıbrida que usa as vantagens tanto das redes de Petri estoc´asticas como dos diagramas de blocos de confiabilidade. Al´em disso, um modelo ´e proposto para realizar a verifica¸c˜ao se fluxo de energia n˜ao excede a capacidade m´axima de potˆencia que cada equipamento pode prover (considerando dispositivos el´etricos) ou extrair (assumindo equipamentos de refrigera¸c˜ao). Adicionalmente, um m´etodo de otimiza¸c˜ao ´e proposto para melhorar os resultados obtidos atrav´es dos diagramas de blocos de confiabilidade, das redes de Petri estoc´asticas e do modelo de fluxo de energia pela sele¸c˜ao autom´atica dos dispositivos apropriados a partir da lista de componentes candidatos. Essa lista corrresponde a um conjunto de componentes que podem ser utilizados para compor a arquitetura de data center. V´arios estudos de casos s˜ao apresentados para analisar o impacto ambiental, a dependabilidade e o custo operacional de energia el´etrica de arquiteturas reais de potˆencia e refrigera¸c˜ao de data centers. 2015-03-12T18:54:10Z 2015-03-12T18:54:10Z 2013-11-12 info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis CALLOU, Gustavo Rau de Almeida. Assessment to support the planning of sustainable data centers with high availability. Recife, 2013. 142 f. Tese (doutorado) - UFPE, Centro de Informática, Programa de Pós-graduação em Ciência da Computação, 2013.. https://repositorio.ufpe.br/handle/123456789/12262 eng Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess Universidade Federal de Pernambuco reponame:Repositório Institucional da UFPE instname:Universidade Federal de Pernambuco instacron:UFPE