[hpc-announce] Call for Chapters -- Big Data: Principles and Paradigms

Rajkumar Buyya rbuyya at unimelb.edu.au
Sat Nov 22 20:41:51 CST 2014


                 Big Data: Principles and Paradigms


              *********    Call for Chapters    ********

(Publisher is being finalized: The book will be published by one of the 
top  publishers-- e.g., Wiley/Elsevier-- in the field).


Rapid advances in digital sensors, networks, storage, and computation, 
along with their availability at low cost, are leading to the creation 
of huge collections of data - dubbed as Big Data. This data has the 
potential for enabling new insights that can change the way business, 
science, and governments deliver services to their consumers and can 
impact society as a whole. This has led to the emergence of the Big Data 
Computing paradigm focusing on sensing, collection, storage, management, 
and analysis of data from variety of sources to enable new value and 

To realize the full potential of Big Data, researchers and practitioners 
need to address several challenges and develop suitable conceptual and 
technological solutions for tackling them. These include life-cycle 
management of data, large-scale storage, flexible processing 
infrastructure, data modeling, scalable machine learning and data 
analysis algorithms, techniques for sampling and making trade-off 
between data processing time and accuracy, and dealing with privacy and 
ethical issues involved in data sensing, storage, processing, and 
actions. Objectives

The primary purpose of this book is to capture the state-of-the-art in 
Big Data Computing, its technologies and applications. The book also 
aims to identify potential research directions and technologies that 
will facilitate insight generation in various domains from science, 
industry, business, and consumer applications. We expect the book to 
serve as a reference for larger audience such as systems architects, 
practitioners, developers, new researchers and graduate level students.

Topics of Interest:

Topics for potential chapters include, but are not limited to:

     Big Data Science:
         Algorithms for Big Data
         Energy-efficient Algorithms
         Big Data Search
         Big Data Acquisition, Integration, Cleaning, and Best Practices
         Visualization of Big Data

     Big Data Infrastructures and Platforms:
         Programming Systems
         Performance evaluation
         Fault tolerance and reliability
         I/O and Data management
         Storage Systems (including file systems, NoSQL, and RDBMS)
         Resource management

     Big Data Security and Policy:
         Management Policies
         Data Privacy
         Data Security
         Big Data Archival and Preservation
         Big Data Provenance

     Big Data Applications:
         Scientific application cases studies on Cloud infrastructures
         Big Data Applications at Scale
         Experience with Big Data Application Deployments
         Data streaming applications
         Big Data in Social Networks
         Healthcare Applications
         Enterprise Applications

Important Dates - Proposed

Chapter Proposal: You are invited to submit a 1-2 pages proposal 
describing the topic of your chapter. The proposal should include the 
chapter organization, anticipated number of pages of the final 
manuscript and brief biography of authors.  We plan to follow the 
timeline given below:

* Proposal deadline: Feb 28, 2015 (Early expression of interest is 
highly encouraged)

* Notification of proposal acceptance: March 30, 2015

* Full draft chapter submission: June. 30, 2015

* Chapter review report to authors: July 30, 2015

* Final version submission: Aug. 30, 2015

Early submission is highly appreciated as the editors would like to have 
progressive dialogue and work with prospective authors to bring out a 
book of wide appeal.

If we receive more than one proposal for a chapter on the same topic, 
the editors may request authors to collaborate to develop an integrated 

Target Audience:

We expect the book to serve as a valuable reference for larger audience 
such as systems architects, practitioners, developers, researchers and 
graduate level students.

Manuscript Submission:

Each accepted chapter should have about 20-35 A4 pages. We expect to 
deliver CRC of the book to the publisher. A MS Word template will be 
provided later.

Primary Editor's Contact Details
Dr. Rajkumar Buyya

CEO, Manjrasoft, Melbourne, Australia
Director, Cloud Computing and Distributed Systems Laboratory
Dept. of Computing and Information Systems
The University of Melbourne, Australia
Email: rbuyya at unimelb.edu.au


Dr. Rodrigo N. Calheiros
Dr. Amir Vahid Dastjerdi
Cloud Computing and Distributed Systems Laboratory
Dept. of Computing and Information Systems
The University of Melbourne, Australia
Email: {rnc, amir.vahid}@unimelb.edu.au

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