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Cloud computing offers many advantages to researchers and engineers who need access to high performance computing facilities for solving particular compute-intensive and/or large-scale problems, but whose overall high performance computing (HPC) needs do not justify the acquisition and operation of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Catlett, C.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : IOS Press, ©2013.
©2013
Colección:Advances in parallel computing ; v. 23.
Temas:
Cloud computing.
Big data.
Infonuagique.
Données volumineuses.
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Big data
Cloud computing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Machine generated contents note: ch. 1 Cloud Infrastructures
  • Building Automatic Clouds with an Open-Source and Deployable Platform-as-a-Service / Dana Petcu
  • QoS-Aware Cloud Application Management / Mastoureh Hassannezhad
  • Building Secure and Transparent Inter-Cloud Infrastructure for Scientific Applications / Shinji Shimojo
  • Cloud Adoption Issues: Interoperability and Security / Vladimir Getov
  • Semantic Technology for Supporting Software Portability and Interoperability in the Cloud
  • Contributions from the mOSAIC Project / Giuseppina Cretella
  • ch. 2 Cloud Applications
  • Using Clouds for Technical Computing / Dennis Gannon
  • ACO-Based Dynamic Job Scheduling of Parametric Computational Mechanics Studies on Cloud Computing Infrastructures / Elina Pacini
  • Using the BSP Model on Clouds / Francisco Pereira Junior
  • Executing Multi-Workflow Simulations on a Mixed Grid/Cloud Infrastructure Using the SHIWA and SCI-BUS Technology / Zoltan Farkas
  • ch. 3 Big Data
  • Ephemeral Materialization Points in Stratosphere Data Management on the Cloud / Daniel Warneke
  • Cloud Framework for Big Data Analytics Workflows on Azure / Paolo Trunfio
  • High Performance Big Data Clustering / Alok Choudhary
  • Scalable Visualization and Interactive Analysis Using Massive Data Streams / Sidharth Kumar
  • Mammoth Data in the Cloud: Clustering Social Images / Bingjing Zhang.

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