Call for Chapter Proposals
Abstract Deadline: 07 December 2008
Data Intensive Distributed Computing:
Challenges and Solutions for Large-scale Information Management
A book edited by Dr. Tevfik Kosar, Louisiana State University, USA
Introduction:
The trend in scientific as well as commercial applications from a diverse range of fields has been towards being more and more data-intensive over time. This increase in the demand for large-scale data processing has necessitated collaboration and sharing among the world`s leading education, research, and industrial institutions and use of distributed resources owned by collaborating parties. In a widely distributed environment, data is often not locally accessible and has thus to be remotely retrieved and stored. While traditional distributed systems work well for computation that requires limited data handling, they fail in unexpected ways when the computation accesses, creates, and moves large amounts of data especially over wide-area networks. Scientists, researchers, and application developers are often forced to spend a great deal of time and energy on solving basic data-handling issues, such as the physical location of data, how to access it, and/or how to move it to visualization and/or compute resources for further analysis.
Objective of the Book:
This book aims to focus on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges. We will give the readers (i.e. scientists, researchers, engineers, and application developers) hints on how to manage the low-level data handling issues when performing data intensive distributed computing. With the knowledge of the correct data management techniques for their applications, the readers will be able to focus on their primary goal, assured that their data management needs are handled reliably and efficiently.
Unique Characteristics:
The majority of existing research and publications on distributed computing have been on the management and handling of compute intensive tasks and computational resources. As applications have become more data intensive, however, the management of data storage systems and data movement between the storage and compute resources is becoming the main bottleneck. Many jobs executing in distributed environments are failed or are inhibited by overloaded storage systems. These failures prevent scientists from making progress in their research. We believe this book will make a unique contribution to collaborative and distributed computing community by focusing on the planning, management, and scheduling of data handling tasks and data storage resources.
Target Audience:
We intend to make this book an invaluable reference resource to all scientists, researchers, engineers, and application developers who deal with large amounts of distributed data in their research, simulations, and applications. The book can potentially be used also as an academic resource for graduate level courses in this and related areas.
Topics of Interest:
The topics of interest to be covered by this book include but are not limited to the following:
- Scientific and commercial data intensive applications
- Data Grid toolkits and middleware
- Hierarchical storage systems
- Storage resource managers and brokers
- Distributed storage and file systems
- Parallel and global file systems
- Network-aware storage
- Remote access to data
- Data staging and replication
- Data management and co-scheduling
- Data placement and data-aware scheduling
- Network support for data intensive computing
- High speed wide area data transfers
- Bulk data movement
- New protocols for high speed networks
- Visualization of large scale data
- Remote and distributed visualization
- High speed data streaming
- Data and workflow management
- Virtual data systems
- Mapping workflows on distributed resources
- Metadata and semantic web
- Digital libraries
- Research challenges in data intensive computing
Submission Procedure:
Authors are invited to submit a 2-page proposal (not including the figures and references) no later than 07 December 2008 explaining the contribution of the proposed book chapter. The proposals should be submitted in single-column PDF format to the editor. The book is scheduled to be published by IGI Global (formerly Idea Group Inc.), www.igi-global.com, publisher of the IGI Publishing (formerly Idea Group Publishing), Information Science Publishing, IRM Press, CyberTech Publishing, Information Science Reference (formerly Idea Group Reference), and Medical Information Science Reference imprints.
Important Dates:
Chapter abstracts due: 07 November 2008
Full chapters due: 31 January 2009
Inquiries and submissions can be forwarded electronically to:
Tevfik Kosar, Editor