Cloud computing and big data (eBook, 2013) [WorldCat.org]
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Cloud computing and big data

Author: C Catlett
Publisher: Amsterdam : IOS Press, ©2013.
Series: Advances in parallel computing, v. 23.
Edition/Format:   eBook : Document : English
Summary:
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 dedicated HPC facilities. There are, however, a number of fundamental problems which must be addressed, such as the  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: C Catlett
ISBN: 9781614993223 161499322X 1306284678 9781306284677 1614993211 9781614993216
OCLC Number: 867820700
Notes: Includes indexes.
Description: 1 online resource
Contents: 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.
Series Title: Advances in parallel computing, v. 23.
Responsibility: edited by Charlie Catlett [and others].

Abstract:

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 dedicated HPC facilities. There are, however, a number of fundamental problems which must be addressed, such as the limitations imposed by accessibility, security and communication speed, before these advantages can be exploited to the full. This book presents 14 contributions selected from the Inter.

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