[Storage-research-list] Call for Book Chapters: Big Data Management, Architecture, and Processing

[Kuan-Ching Li]

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Call for Book Chapters
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Big Data Management, Architecture, and Processing
(Chapman & Hall/ CRC Big Data Series)
CRC Press, Taylor & Francis Group, USA
https://sites.google.com/site/bigdata2map/

Important Dates
*Proposal Submission: January 15, 2016*
-Proposal Acceptance: February 1, 2016
-Sample Chapter (phase I): May 1, 2016
-Sample Chapter (phase II): July 1, 2016
-Complete Chapter Submission (to editors):   August 1, 2016
-Submission of Chapters (to publisher): August 25, 2016
-Publication Time: Q4/2016 (tentative)


Data are being generated at exponential rate all over the world, and
organizations are storing and processing exponentially increasing amounts
of data. Recently, they have to re-think about and figure out how to do
this efficiently and effectively. Through evolving algorithms and analytics
techniques, organizations can harness data, discover hidden patterns, and
use the derived knowledge to act meaningfully for competitive advantages.

Book co-editors intend to invite experts and successful case participating
members to contribute discussions on topics for data gathering and
management as well as processing.

This book intends to bridge the gap between huge amount of data and
appropriate computational/management methods for scientific discovery, and
to bring together technologies for media/data communication, elastic
media/data storage, and cross-network media/data fusion. The book also aims
at interesting applications involving Big Data.


Topics
Topics include, but are not limited to, the follows:

* Management
- Big Data Design, implementation, evaluation and services, including the
development process, use cases, experiments and associated simulations
- Big Data as integration of technologies such as SOA, data mining, machine
learning, HPC, cloud storage, multi-clouds and internet of things.
- Big Data analytics and visualization with new algorithms showing how to
achieve significant improvements from existing methods
- Query processing and indexing
- Data management within and across multiple geographically distributed
data centers
- Elasticity for data management systems
- Self-*, adaptive and energy-efficient mechanisms
- Performance evaluation of environments and technologies
- Security, privacy, trust, data ownership and risk simulations

*Architecture
- GPU/Many-core and Heterogeneous Architecture
- Energy Efficient Architecture
- Node and System Architecture
- Packaging, Power and Cooling
- Interconnect/Memory Architecture
- Single System Image Clusters
- Big Data Open Systems
- Administration and Maintenance Tools

* Processing
- Techniques, algorithms and innovative methods of processing,
- Business and economic models (quantitative or computational), social
network analyses, scientific workflows and business processes,
- Adoption cases, frameworks and user evaluations involved with
quantitative or computational research methods,
- Data-intensive and scalable computing on hybrid infrastructures,
- MapReduce based computations,
- Many-Task Computing in the Cloud,
- Streaming and real-time processing,
- Big Data applications, experiences and solutions for specific domains of
data science, including security, health, transportation, logistics,
e-government,
environment, computational physics, astronomy, and others.


Proposal submission
A proposal for a book chapter is needed from prospective authors before the
proposal submission due date, describing the goals and scopes of the proposed
chapter. Acceptance of chapter proposals will be communicated to lead
authors after a formal double-blind review process. The submission of chapter
proposals should be sent directly via email to corresponding editors.


Book Editors
Kuan-Ching Li, Providence University, Taiwan
Hai Jiang, Arkansas State University, USA
Albert Zomaya, The University of Sydney, Australia


Additional Information
Inquiries and chapter proposal submissions can be forwarded electronically
by email to kuancli at pu.edu.tw, hjiang at astate.edu or
albert.zomaya at sydney.edu.au .
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