Problem localization using probabilistic dependency analysis for automated system management in ubiquitous computing

Piao, Shunshan; Park, Jeong-Min; Lee, Eunseok

doi:10.1108/10662240910952319

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…Data center server and network demands can vary by type and functionality. The two types of demands are internal demands (server to server) and external demands (business to business or client to business) [11].…”

Section: Data Center Capacitymentioning

confidence: 99%

Knowledge based data center capacity reduction using sensitivity analysis on causal Bayesian belief network

Patel

Sarkani

Mazzuchi

2013

Information Knowledge Systems Management

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Studies on data center capacity planning, maintenance, and reorganization have been of interest to all its stakeholders since the data centers were first instituted. Recent study shows that data center costs contribute to nearly 25% of all information technology budgets in a company. Several methodologies have been adopted for strategic data center capacity reduction such as dynamic shutdown, virtualization, and logical partitions. The greatest challenge around data center capacity reduction is an approach that captures all data center variables and allows for strategic reduction in capacity while minimizing risks.This paper uses causal Bayesian Belief Network to represent data center capacity planning decision process. It encapsulates three areas that influence the data center demand. These areas include market conditions, development process, and internal business decisions. The approach uses sensitivity analysis to narrow down the factors that influence the decision process the most while providing an opportunity, if one exists, to also reduce unused data center capacity. An iterative approach was applied to develop a causal Bayesian Belief Network, to carry out decisions at each stage, and to collect sensitivity values. Training data was simulated using Geometric Brownian motion generated through Monte-Carlo simulation. The Bayesian belief network itself was designed using Netica.

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Section: Data Center Capacitymentioning

confidence: 99%

Knowledge based data center capacity reduction using sensitivity analysis on causal Bayesian belief network

Patel

Sarkani

Mazzuchi

2013

Information Knowledge Systems Management

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Dynamic Decision Making for Self-Adaptive Systems Considering Environment Information

Kim¹,

Jeong²,

Lee³

2016

Journal of KIISE

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Ternary diagrams are presented as graphic tools to assist environmental accounting and environmental decision-making based on emergy analysis. Besides the unquestionable advantages of graphic interpretation over table analysis, the use of ternary diagrams, widely used for physical chemistry evaluation of three components systems, or three components phase diagrams, permits the use of phase diagrams properties to assess the dependence of the system upon renewable and non renewable inputs, the environmental support for dilution and abatement of process emissions and the system efficiency. The prompt visualization of the emergy accounting data makes possible to compare processes and systems with and without ecosystem services, to evaluate improvements and to follow the system performance over time. With the aim of ternary diagrams, aspects such as the interaction between systems and the interactions between systems and the environment can be readily recognized and evaluated. Resumo Diagramas ternários são apresentados como ferramenta gráfica no auxílio da contabilidade ambiental e tomada de decisões ambientais baseadas na análise emergética. Além de inquestionáveis vantagens da interpretação gráfica sobre análise de tabelas, o uso dos diagramas ternários, largamente empregados para a avaliação da físico-química de diagrama de fases para sistemas de três componentes, permite o uso das propriedades do diagrama de fases para avaliação da dependência dos sistemas sobre entradas renováveis e não-renováveis e a avaliação do suporte ambiental para diluição e redução de emissões dos processos e da eficiência dos sistemas. A imediata visualização dos dados da contabilidade emergética permite a comparação de processos e sistemas com e sem serviços dos ecossistemas, para avaliar melhorias e acompanhamento do desempenho dos sistemas ao longo do tempo. Com a objetividade dos diagramas ternários, aspectos como a interação entre sistemas e a interação entre sistemas e meio ambiente podem ser prontamente reconhecidos e avaliados. Palavras-chave Sistemas de produção, ferramenta gráfica, diagrama ternário, sustentabilidade.

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Problem localization using probabilistic dependency analysis for automated system management in ubiquitous computing

Cited by 2 publications

References 11 publications

Knowledge based data center capacity reduction using sensitivity analysis on causal Bayesian belief network

Knowledge based data center capacity reduction using sensitivity analysis on causal Bayesian belief network

Dynamic Decision Making for Self-Adaptive Systems Considering Environment Information

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