[Om-announce] Call for Book Chapters – Networking for Big Data

Shui Yu shuiyucfp at gmail.com
Sun Jun 8 08:11:59 CEST 2014


Call for Book Chapters

Book Title: Networking for Big Data
To be published by: CRC Press - Taylor & Francis Group, USA

Objective of the Book

 Big Data is an emerging hot research topic due to its pervasive
application in human society, such as governing, climate, finance, science,
and so on.  The feasibility of wonderful top layer Big Data applications
(e.g., data mining, decision support) heavily depends on the underneath
supporting facilities and their performance, such as networking, storage
management. We can interpret that networking is the ‘hardware’ for Big Data
applications.



To date, networking for Big Data is still mysterious to researchers. There
many problems await to be addressed in this uncharted land, such as network
optimization for Big Data, data storage management for Big Data, parallel
structures and algorithms for Big Data computing, information retrieval in
Big Data, network security and privacy issues in Big Data, and so on.



The purpose of the proposed book is to solicit the latest research output
in networking aspects of Big Data, and serve as a starting ground for
interested readers from industry and academia.  We have sketched the
structure of the book as follows.



      Part 1. Introduction and overview of Big Data

Part 2. Networking theory for Big Data

Part 3. Networking design for Big Data

Part 4. Network security for Big Data

Part 5. Platforms and systems for Big Data applications.



The topics of interest include, but are not limited to, the following:

   - Network architecture design for Big Data
   - Distributed systems for Big Data
   - Parallel and distributed algorithms for Big Data
   - Cloud for Big Data
   - Information retrieval in Big Data
   - Data migration and backup for Big Data
   - Data synchronization for Big Data
   - Access control in Big Data
   - Network security, privacy and trust in Big Data
   - Network performance analysis in Big Data
   - Network modelling for Big Data
   - Anonymous communication for Big Data
   - Big Networked Data

We welcome surveys and technical chapters presenting analytical research,
simulations, practical results. We also expect chapters addressing the pros
and cons of specific proposals, and chapters addressing the key problems
and solutions. The topics can be discussed in term of concepts, state of
the art, standards, deployments, implementations, running experiments and
applications.

Abstracts/Chapters submission
Abstracts/ Chapters can be submitted using email attachments to editors via
email (networkingbigdata at gmail.com, please also cc to syu at deakin.edu.au ).
Authors should send the chapters in single column format (single spaced, 10
point Times Roman font, 8.5 x 11-inch page size). The maximum number of
pages for the abstract is 2. Editors expect camera ready chapters of about
15 to 20 pages, but more or less are allowed. Authors must include in the
subject of their submission "Book chapter for Networking for Big Data."





Tentative timeframe
Abstract submission: 23 June 2014
Deadline for full chapter submission: 25 August 2014
Acceptance Notification: 25 September 2014
Revised chapter submission: 27 October, 2014
Publication: 2015

Editors:

 Dr Shui Yu,

School of Information Technology, Deakin University, Australia

Email: syu at deakin.edu.au

http://www.deakin.edu.au/~syu



Professor Xiaodong Lin,

University of Ontario Institute of Technology, Canada

Email: xiaodong.lin at uoit.ca

http://www.hrl.uoit.ca/~xdlin/



Professor Jelena Mišić,  Ryerson University in Toronto, Canada

Email: jmisic at scs.ryerson.ca

http://www.scs.ryerson.ca/~jmisic/



Professor Xuemin (Sherman) Shen, University of Waterloo, Canada

Email: xshen at bbcr.uwaterloo.ca

http://bbcr.uwaterloo.ca/~xshen/



-- 

 -----------------------------

Shui YU, PhD, Senior Lecturer

School of Information Technology, Deakin University,

221 Burwood Highway, Burwood, VIC 3125,  Australia.

Telephone:0061 3 9251 7744

http://www.deakin.edu.au/~syu
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