Mudanças entre as edições de "SCC022702292014 Palestras (cdac)"

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<b>01 de outubro</b>:
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<b>01 de outubro</b>: Viktor K. Prasanna (University of Southern California)
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''Título'': '''Research in Energy Informatics'''
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''Resumo'':
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This talk will review various efforts at the Center for Energy Informatics at the University of Southern California addressing both IT for energy efficiency as well as design of energy efficient IT infrastructure. We first review the Smart Grid demonstration project efforts related to cloud based software architecture for demand response. We then discuss research in IT for smart oil fields.
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The first portion of this talk focuses on the optimization techniques we have developed for demand response on the USC campus micro-grid. These are part of the USC Living Lab (http://smartgrid.usc.edu/) where innovative software systems, power systems technology, and community participation are leveraged to advance Smart Grid research. The work is also integrated with the LA Smart Grid project which is one of the largest projects supported by the US Department of Energy (DOE). The optimizations are integrated into a distributed Cloud–enabled software architecture for demand response. The architecture is closely integrated with the software and hardware infrastructure at USC to provide automated demand response. We introduce the notion of Dynamic Demand Response (D2R) and Sustained Demand Response. D2R is designed to quickly adapt to changes in customer consumption and sustain the energy curtailment during peak hours. We present some scalability challenges posed by handling large amount of heterogeneous streaming data while moving from campus scale to city-wide demand response for individual customers. We further present a scalable information integration and stream processing framework for big data analytics for smart grids on elastic clouds leading to the notion of Energy Informatics.
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In the second part of the talk we focus on our recent work in integrated optimizations for oil fields at the Center for research and education in smart oil fields at USC (http://CiSoft.usc.edu). We discuss the challenges in such optimizations and several use cases and computational problems arising out of them.
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''Sobre o apresentador'':
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Viktor K. Prasanna (ceng.usc.edu/~prasanna) is Charles Lee Powell Chair in Engineering in the Ming Hsieh Department of Electrical Engineering and Professor of Computer Science at the University of Southern California. He is the executive director of the USC-Infosys Center for Advanced Software Technologies (CAST). He is also associate director of the USC-Chevron Center of Excellence for Research and Academic Training on Interactive Smart Oilfield Technologies (CiSoft). His research interests include parallel and distributed systems including networked sensor systems, embedded systems, configurable architectures and high performance computing. He has served on the editorial boards of the Journal of Parallel and Distributed Computing, Proceedings of the IEEE, IEEE Transactions on VLSI Systems, and IEEE Transactions on Parallel and Distributed Systems. He served as the Editor-in-Chief of the IEEE Transactions on Computers during 2003-06. He is currently the Editor-in-Chief of the Journal of Parallel and Distributed Computing (JPDC). Prasanna was the founding Chair of the IEEE Computer Society Technical Committee on Parallel Processing. He is a Fellow of the IEEE, the ACM and the American Association for Advancement of Science (AAAS). He is a recipient of 2009 Outstanding Engineering Alumnus Award from the Pennsylvania State University.
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Edição das 13h24min de 25 de setembro de 2014

Datas previstas para as palestras da disciplina (pode haver alteração)


13 de agosto: Apresentação da Disciplina


03 de setembro: Eduardo Antonio Speranza (Embrapa Informática Agropecuária / Doutorando no DC/UFSCar)

Título: Agricultura de Precisão: Conceitos e Desafios em Computação

Resumo:

A Agricultura de Precisão constitui-se de um sistema de gerenciamento agrícola baseado na variabilidade espacial do solo e das propriedades das plantas, objetivando a otimização do lucro, sustentabilidade e proteção ambiental.O objetivo da apresentação é relatar um histórico sobre a Agricultura de Precisão e seus conceitos básicos. Além disso, apresenta a variedade de dados que pode ser obtida em Agricultura de Precisão, bem como as oportunidades de pesquisa em Computação para essa área.

Sobre o apresentador:

  • Graduado em Ciência da Computação pelo ICMC/USP (2003)
  • Mestrado em Engenharia Elétrica (EESC/USP) em 2008
  • Doutorando em Ciência da Computação (DC/UFSCar) desde 2013
  • Analista de sistemas na Embrapa desde 2007, passando pelo Ministério da Agricultura, Pecuária e Abastecimento (Brasília-DF) - de 2007 à 2009 e desde 2009 na Embrapa Informática Agropecuária (Campinas-SP) , atuando no Laboratório de Geotecnologias (Bancos de Dados Espaciais e desenvolvimento de Sistemas de Informações Geográficas)



17 de setembro: Jaqueline Joice Brito (Doutoranda em Ciências de Computação no ICMC-USP) e Lucas de Carvalho Scabora (Mestrando em Ciências de Computação no ICMC-USP)

Título: Computação em Nuvem: conceitos, tecnologias e aplicações

Resumo:

A computação em nuvem pode ser vista como um modelo de fornecimento de recursos de TI sob demanda por meio de uma rede, geralmente a Internet, com pagamento conforme o uso. Dessa forma, a computação em nuvem representa um modelo atrativo, tanto para pequenas quanto para grandes empresas, reduzindo custos de investimentos e manutenção de infraestruturas próprias de TI, ao mesmo tempo em que proporciona uma grande flexibilidade no uso e oferecimento de serviços. O objetivo da apresentação é apresentar os principais conceitos e tecnologias de computação em nuvem, modelo MapReduce e bancos NoSQL, assim como aplicações executadas nesse ambiente.

Sobre os apresentadores:

  • Jaqueline é graduada em Física pelo IFSC-USP (2009) e mestra em Ciências de Computação pelo ICMC-USP (2012)
  • Lucas é graduado em Ciências de Computação pelo ICMC-USP (2013)



01 de outubro: Viktor K. Prasanna (University of Southern California)

Título: Research in Energy Informatics

Resumo:

This talk will review various efforts at the Center for Energy Informatics at the University of Southern California addressing both IT for energy efficiency as well as design of energy efficient IT infrastructure. We first review the Smart Grid demonstration project efforts related to cloud based software architecture for demand response. We then discuss research in IT for smart oil fields. The first portion of this talk focuses on the optimization techniques we have developed for demand response on the USC campus micro-grid. These are part of the USC Living Lab (http://smartgrid.usc.edu/) where innovative software systems, power systems technology, and community participation are leveraged to advance Smart Grid research. The work is also integrated with the LA Smart Grid project which is one of the largest projects supported by the US Department of Energy (DOE). The optimizations are integrated into a distributed Cloud–enabled software architecture for demand response. The architecture is closely integrated with the software and hardware infrastructure at USC to provide automated demand response. We introduce the notion of Dynamic Demand Response (D2R) and Sustained Demand Response. D2R is designed to quickly adapt to changes in customer consumption and sustain the energy curtailment during peak hours. We present some scalability challenges posed by handling large amount of heterogeneous streaming data while moving from campus scale to city-wide demand response for individual customers. We further present a scalable information integration and stream processing framework for big data analytics for smart grids on elastic clouds leading to the notion of Energy Informatics. In the second part of the talk we focus on our recent work in integrated optimizations for oil fields at the Center for research and education in smart oil fields at USC (http://CiSoft.usc.edu). We discuss the challenges in such optimizations and several use cases and computational problems arising out of them.

Sobre o apresentador:

Viktor K. Prasanna (ceng.usc.edu/~prasanna) is Charles Lee Powell Chair in Engineering in the Ming Hsieh Department of Electrical Engineering and Professor of Computer Science at the University of Southern California. He is the executive director of the USC-Infosys Center for Advanced Software Technologies (CAST). He is also associate director of the USC-Chevron Center of Excellence for Research and Academic Training on Interactive Smart Oilfield Technologies (CiSoft). His research interests include parallel and distributed systems including networked sensor systems, embedded systems, configurable architectures and high performance computing. He has served on the editorial boards of the Journal of Parallel and Distributed Computing, Proceedings of the IEEE, IEEE Transactions on VLSI Systems, and IEEE Transactions on Parallel and Distributed Systems. He served as the Editor-in-Chief of the IEEE Transactions on Computers during 2003-06. He is currently the Editor-in-Chief of the Journal of Parallel and Distributed Computing (JPDC). Prasanna was the founding Chair of the IEEE Computer Society Technical Committee on Parallel Processing. He is a Fellow of the IEEE, the ACM and the American Association for Advancement of Science (AAAS). He is a recipient of 2009 Outstanding Engineering Alumnus Award from the Pennsylvania State University.



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SCC0227 e SCC0229 - Seminários em Computação I e III - Prof. Dr. Alneu de Andrade Lopes e Profa. Dra. Cristina D. A. Ciferri
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