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You searched for +publisher:"Universidade Estadual de Campinas" +contributor:("Bergamaschi, Reinaldo Alvarenga"). Showing records 1 – 2 of 2 total matches.

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Universidade Estadual de Campinas

1. Piga, Leonardo de Paula Rosa, 1985-. Modeling, characterization, and optimization of web server power in data centers = Modelagem, caracterização e otimização de potência em centro de dados: Modelagem, caracterização e otimização de potência em centro de dados.

Degree: 2013, Universidade Estadual de Campinas

Abstract: To keep up with an increasing demand for computational resources, IT companies need to build facilities that host hundreds of thousands of computers, the data centers. This environment is highly dependent on electrical energy, a resource that is becoming expensive and limited. In this context, this thesis develops a global data center-level power and performance optimization approach for Web Server data centers. It presents a power measurement framework for commodity servers, develops empirical models for estimating the power consumed by Web servers, and implements one of the global power optimization heuristics on a state-of-the-art, high-density SeaMicro SM15k cluster by AMD. The power measuring framework is composed of a custom made board, which is able to capture the power consumption; a data acquisition device that samples the measured values; and a piece of software that manages the framework. We show a novel method for developing full system Web server power models that prunes model parameters and reduces non-linear relationships among performance measurements and system power. The Web server power models use as parameters performance indicators read from the machine internal performance counters. We evaluate our approach on an AMD Opteron-based Web server and on an Intel i7-based Web server. Our best model displays an average absolute error of 1.92% for the Intel i7 server and 1.46% for AMD Opteron as compared to actual measurements, and 90th percentile for the absolute percent error equals to 2.66% for Intel i7 and 2.08% for AMD Opteron. We deploy the global power management system in a state-of-the-art SeaMicro SM15k cluster. The implementation relies on the concept of Virtual Power States, a combination of CPU utilization rate to the P/C power states available in modern processors, and on our global optimization algorithm called Slack Recovery. We also propose and implement a novel mechanism to control utilization rates in each server, a key aspect of our power/performance optimization system. Experimental results show that our Slack Recovery-based system can reduce up to 16% of the power consumption when compared to the Linux performance governor and 6.7% when compared to the Linux ondemand governor Advisors/Committee Members: UNIVERSIDADE ESTADUAL DE CAMPINAS (CRUESP), Rigo, Sandro, 1975- (advisor), Bergamaschi, Reinaldo Alvarenga (coadvisor), Universidade Estadual de Campinas. Instituto de Computação (institution), Programa de Pós-Graduação em Ciência da Computação (nameofprogram), Navaux, Philippe Olivier Alexandre (committee member), Senger, Hermes (committee member), Madeira, Edmundo Roberto Mauro (committee member), Azevedo, Rodolfo Jardim de (committee member).

Subjects/Keywords: Arquitetura de computador; Centros de processamento de dados; Macromodelagem de potência; World Wide Web (Sistema de recuperação da informação) - Servidores; Energia elétrica - Conservação; Computer architecture; Data processing service centers; Power macromodeling; Web servers; Electric power conservation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Piga, Leonardo de Paula Rosa, 1. (2013). Modeling, characterization, and optimization of web server power in data centers = Modelagem, caracterização e otimização de potência em centro de dados: Modelagem, caracterização e otimização de potência em centro de dados. (Thesis). Universidade Estadual de Campinas. Retrieved from http://repositorio.unicamp.br/jspui/handle/REPOSIP/275608

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Piga, Leonardo de Paula Rosa, 1985-. “Modeling, characterization, and optimization of web server power in data centers = Modelagem, caracterização e otimização de potência em centro de dados: Modelagem, caracterização e otimização de potência em centro de dados.” 2013. Thesis, Universidade Estadual de Campinas. Accessed September 27, 2020. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275608.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Piga, Leonardo de Paula Rosa, 1985-. “Modeling, characterization, and optimization of web server power in data centers = Modelagem, caracterização e otimização de potência em centro de dados: Modelagem, caracterização e otimização de potência em centro de dados.” 2013. Web. 27 Sep 2020.

Vancouver:

Piga, Leonardo de Paula Rosa 1. Modeling, characterization, and optimization of web server power in data centers = Modelagem, caracterização e otimização de potência em centro de dados: Modelagem, caracterização e otimização de potência em centro de dados. [Internet] [Thesis]. Universidade Estadual de Campinas; 2013. [cited 2020 Sep 27]. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/275608.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Piga, Leonardo de Paula Rosa 1. Modeling, characterization, and optimization of web server power in data centers = Modelagem, caracterização e otimização de potência em centro de dados: Modelagem, caracterização e otimização de potência em centro de dados. [Thesis]. Universidade Estadual de Campinas; 2013. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/275608

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Estadual de Campinas

2. Klein, Felipe Vieira. Tecnicas avançadas de modelagem, analise e otimização de potencia em sistemas digitais: Advanced techniques for power modeling, analysis and optimization in digital systems.

Degree: 2009, Universidade Estadual de Campinas

Abstract: The growing demand for features to be included into electronic devices, along with tight performance constraints, make power consumption one of the most important design constraints in the CAD/EDA design flow. The constant evolution of the semiconductor technology, observed in the last decades, has considerably increased the complexity of today's systems, which demand exorbitant computational resources. Unfortunately, the growing complexity leads to a higher power consumption which, in turn, has a number of undesired side effects, such as thermal issues and increased power density, thus compromising the overall circuit reliability. Hence, elaborated cooling solutions are required, increasing its final cost and compromising its time-to-market. Moreover, the large amounts of energy needed by portable devices substantially reduce their battery lifetime. The contributions of this thesis encompass two distinct topics within the so-called low-power design. The first one is related to RTL power macromodeling techniques. It is shown that conventional single-model techniques have intrinsic limitations that affect their accuracy. Then, a quantitative and qualitative analysis is conducted, pinpointing the limitations of several well-known techniques, followed by a demonstration that the adoption of a single technique may compromise the overall quality of the estimates. Subsequently, two novel multi-model power macromodeling techniques are proposed, which exploit the strengths of each single-model technique in order to optimize the accuracy of power estimation. The obtained results revealed substantial improvements in accuracy, which becomes 7 times better for the average errors, while the overall maximum estimation error is divided by 9. The second part of this thesis is related to a topic which is gaining much attention recently in the multi-core era: the concurrent programming paradigm widely known as transactional memory, which aims at making the task of creating concurrent software simpler. Although this is a rather active area, researchers have invariably focused on performance, leaving other metrics such as power and energy unattended. This work presents a detailed power analysis of a state-of-the-art STM (Software Transactional Memory) implementation, being the first one in this context. Moreover, a novel DVFS-based (Dynamic Voltage and Frequency Scaling) contention management strategy is proposed, which reduces the energy consumption by exploiting the slack available in applications displaying high bus contention Advisors/Committee Members: UNIVERSIDADE ESTADUAL DE CAMPINAS (CRUESP), Azevedo, Rodolfo Jardim de, 1974- (advisor), Araújo, Guido Costa Souza de, 1962- (coadvisor), Universidade Estadual de Campinas. Instituto de Computação (institution), Programa de Pós-Graduação em Ciência da Computação (nameofprogram), Santos, Luiz Claudio Villar dos (committee member), Carro, Luigi (committee member), Bergamaschi, Reinaldo Alvarenga (committee member), Rigo, Sandro (committee member).

Subjects/Keywords: Arquitetura de computador; Sistemas embarcados (Computadores); Estimativa de potência; Macromodelagem de potência; Computer architecture; Embedded computer systems; Power estimation; Power macromodeling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Klein, F. V. (2009). Tecnicas avançadas de modelagem, analise e otimização de potencia em sistemas digitais: Advanced techniques for power modeling, analysis and optimization in digital systems. (Thesis). Universidade Estadual de Campinas. Retrieved from http://repositorio.unicamp.br/jspui/handle/REPOSIP/275839

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Klein, Felipe Vieira. “Tecnicas avançadas de modelagem, analise e otimização de potencia em sistemas digitais: Advanced techniques for power modeling, analysis and optimization in digital systems.” 2009. Thesis, Universidade Estadual de Campinas. Accessed September 27, 2020. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275839.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Klein, Felipe Vieira. “Tecnicas avançadas de modelagem, analise e otimização de potencia em sistemas digitais: Advanced techniques for power modeling, analysis and optimization in digital systems.” 2009. Web. 27 Sep 2020.

Vancouver:

Klein FV. Tecnicas avançadas de modelagem, analise e otimização de potencia em sistemas digitais: Advanced techniques for power modeling, analysis and optimization in digital systems. [Internet] [Thesis]. Universidade Estadual de Campinas; 2009. [cited 2020 Sep 27]. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/275839.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Klein FV. Tecnicas avançadas de modelagem, analise e otimização de potencia em sistemas digitais: Advanced techniques for power modeling, analysis and optimization in digital systems. [Thesis]. Universidade Estadual de Campinas; 2009. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/275839

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.