Cloud computing and big data / edited by Charlie Catlett [and four others].

Format:

Book

Conference/Event

Contributor:

Catlett, Charlie.

Conference Name:

International Research Workshop on Advanced High Performance Computing Systems (2012 : Cetraro, Italy)

Series:

Advances in parallel computing ; v. 23.

Advances in Parallel Computing, 1879-808X ; Volume 23

Language:

English

Subjects (All):

Cloud computing.

Big data.

Physical Description:

1 online resource (260 p.)

Edition:

1st ed.

Place of Publication:

Amsterdam, Netherlands : IOS Press, 2013.

Language Note:

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 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

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 InfrastructuresUsing 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

Notes:

Includes indexes.

Description based on print version record.

ISBN:

1-61499-322-X

OCLC:

867820700