Big Data and Software Defined Networks

Javid Taheri

ISBN 10: 1785613049 / ISBN 13: 9781785613043

Published by Institution Of Engineering & Technology Mai 2018, 2018

About this Item

Neuware - Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). This new book investigates areas where Big-Data and SDN can help each other in delivering more efficient services.

Seller Inventory # 9781785613043

Bibliographic Details

• Title: Big Data and Software Defined Networks
• Publisher: Institution Of Engineering & Technology Mai 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 1785613049
• ISBN 13: 9781785613043
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 163H x 30D millimeters 241 millimeters width by 163 millimeters height by 30 millimeters depth
• Weight: 862 grams

About this title

Synopsis

Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data and usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). SDN helps CDCs run their services more efficiently by enabling managers to configure, manage, secure, and optimize the network resources very quickly. Big-Data Analytics in turn has entered CDCs to harvest the massive computing powers and deduct information that was never reachable by conventional methods.

Big Data and Software Defined Networks investigates areas where Big-Data and SDN can help each other in delivering more efficient services. SDN can help Big-Data applications overcome one of their major challenges: message passing among cooperative nodes. Through proper bandwidth allocation and prioritization, critical surges of Big-Data flows can be better handled to effectively reduce their impacts on CDCs. Big-Data, in turn, can help SDN controllers better analyze collected network information and make more efficient decisions about the allocation of resources to different network flows.

About the Author

Javid Taheri is an Associate Professor at the Department of Computer Science, Karlstad University, Sweden where his research interests include networking, optimization, parallel/distributed computing, and cloud computing. He holds a Ph.D. in Information Technologies (2007), from the School of Information Technologies, The University of Sydney, Australia.