Cloud Computing and Big Data.
Title:
Cloud Computing and Big Data.
Author:
Catlett, C.
ISBN:
9781614993223
Personal Author:
Physical Description:
1 online resource (260 pages)
Series:
Advances in Parallel Computing ; v.23
Advances in Parallel Computing
Contents:
Title Page -- Preface -- Reviewers -- Contents -- Chapter 1. Cloud Infrastructures -- Building Automatic Clouds with an Open-Source and Deployable Platform-as-a-Service -- QoS-Aware Cloud Application Management -- Building Secure and Transparent Inter-Cloud Infrastructure for Scientific Applications -- Cloud Adoption Issues: Interoperability and Security -- Semantic Technology for Supporting Software Portability and Interoperability in the Cloud - Contributions from the mOSAIC Project -- Chapter 2. Cloud Applications -- Using Clouds for Technical Computing -- ACO-Based Dynamic Job Scheduling of Parametric Computational Mechanics Studies on Cloud Computing Infrastructures -- Using the BSP Model on Clouds -- Executing Multi-Workflow Simulations on a Mixed Grid/Cloud Infrastructure Using the SHIWA and SCI-BUS Technology -- Chapter 3. Big Data -- Ephemeral Materialization Points in Stratosphere Data Management on the Cloud -- A Cloud Framework for Big Data Analytics Workflows on Azure -- High Performance Big Data Clustering -- Scalable Visualization and Interactive Analysis Using Massive Data Streams -- Mammoth Data in the Cloud: Clustering Social Images -- Subject Index -- Author Index.
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 International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in June 2012. The papers are arranged in three chapters. Chapter 1 includes five papers on cloud infrastructures, while Chapter 2 discusses cloud applications. The third chapter in the book deals with big data, which is nothing new - large scientific organizations have been collecting large amounts of data for decades - but what is new is that the focus has now broadened to include sectors such as business analytics, financial analyses, Internet service providers, oil and gas, medicine, automotive and a host of others.This book will be of interest to all those whose work involves them with aspects of cloud computing and big data applications.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Genre:
Electronic Access:
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