Large scale and big data processing and management
This book provides a central source of reference on the various data management techniques of large scale data processing and its technology application. This book presents chapters written by leading researchers, academics, and practitioners in the field, all of which have been reviewed by independ...
Other Authors: | , |
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Format: | eBook |
Language: | Inglés |
Published: |
Boca Raton :
Taylor & Francis
[2014]
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Subjects: | |
See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009634733706719 |
Table of Contents:
- Front Cover; Contents; Preface; Editors; Contributors; Chapter 1: Distributed Programming for the Cloud : Models, Challenges, and Analytics Engines; Chapter 2: MapReduce Family of Large-Scale Data-Processing Systems; Chapter 3: iMapReduce : Extending MapReduce for Iterative Processing; Chapter 4: Incremental MapReduce Computations; Chapter 5: Large-Scale RDF Processing with MapReduce; Chapter 6: Algebraic Optimization of RDF Graph Pattern Queries on MapReduce; Chapter 7: Network Performance Aware Graph Partitioning for Large Graph Processing Systems in the Cloud
- Chapter 8: PEGASUS : A System for Large-Scale Graph ProcessingChapter 9: An Overview of the NoSQL World; Chapter 10: Consistency Management in Cloud Storage Systems; Chapter 11: CloudDB AutoAdmin : A Consumer-Centric Framework for SLA Management of Virtualized Database Servers; Chapter 12: An Overview of Large-Scale Stream Processing Engines; Chapter 13: Advanced Algorithms for Efficient Approximate Duplicate Detection in Data Streams Using Bloom Filters; Chapter 14: Large-Scale Network Traffic Analysis for Estimating the Size of IP Addresses and Detecting Traffic Anomalies
- Chapter 15: Recommending Environmental Big Data Using Semantically Guided Machine LearningChapter 16: Virtualizing Resources for the Cloud; Chapter 17: Toward Optimal Resource Provisioning for Economical and Green MapReduce Computing in the Cloud; Chapter 18: Performance Analysis for Large IaaS Clouds; Chapter 19: Security in Big Data and Cloud Computing : Challenges, Solutions, and Open Problems; Back Cover