Special Issue On Data Management, I/O Techniques, and Storage Systems for Large-Scale Data Intensive

Call For Papers: 

Journal: IEEE Distributed Systems Online (http://dsonline.computer.org/cfp1.htm)
Topic  : Special Issue On Data Management, I/O Techniques,and Storage Systems 
for 
Large-Scale Data Intensive Applications

Scope and Interests: 
===================

Data-intensive computing has become a key characteristic of modern large-scale 
scientific and engineering applications. For example, the US DOE's ASCI 
applications 
generate a typical data of 100's of GBytes to 100's of TBytes. By 2005, 
detectors at the 
Large Hadron Collider at CERN, the European Laboratory for Particle Physics, 
will be 
producing several petabytes of data per year. The key problem that ASCI and 
other 
scientific and engineering applications face is that emerging scientific and 
engineering 
data sets are simply too massive for effective storage, manipulation, 
archiving, 
navigation, visualization, or understanding with current technology. Worse, the 
gap 
between needs and available and affordable technology is rapidly increasing -- 
our 
ability to compute is accelerating faster than our ability to handle and 
visualize the 
resulting data. Thus, without substantial more-than-evolutionary changes in 
technology, we will not be able to effectively manipulate and explore massive 
data sets. 
Terascale or even petascale computing requires newer models and approaches to 
solving the problems in storing, retrieving, managing, sharing, visualizing, 
organizing, 
and analyzing data at such a massive scale. In addition, because problem 
solving in 
scientific and engineering applications requires collaboration and usage of 
distributed 
resources, the problem of data management and storage is further exacerbated. 
 
Challenging issues in data-intensive applications are the scheduling and 
configuration 
of very complex high-volume data flows through multiple levels of hierarchy. 
Novel I/O, 
data management and distributed databases techniques are the main solutions to 
this 
challenging problem. This special issue is intended for researchers to exchange 
and 
discuss the latest advancement of data management, I/O techniques, and 
hierarchical 
storage systems for large-scale data-intensive applications. Original and 
unpublished 
research results on all aspects of research, development, and application of 
this area 
are solicited, including, but not limited to,

- I/O and Data Storage Systems 
- Data Management and Service Systems 
- Distributed Databases 
- Data Repositories and Digital Libraries 
- Data Grid 
- Performance Evaluations of Data-Intensive Applications and Techniques


Submission Information: 
=======================

Authors should email their papers in either PS or PDF format with 5 keywords to 
Laurence T. Yang (lyang-zunJFYPhlDo@xxxxxxxxxxxxxxxx). Papers should range from 
4,000 to 6,000 words 
(tables and figures count as 250 words each). Authors of accepted articles will 
need to submit a final version as a DOC or RTF file. Because IEEE Distributed 
Systems 
Online is an online publication, we encourage submissions with multimedia 
materials, 
such as animation, movies, and so on. Contributions will be reviewed by at 
least three 
external reviewers for relevance and technical contents on basis of papers. 
IEEE CS 
refereeing standards will be applied. For more information, see our author 
guidelines at 
http://dsonline.computer.org/author.htm.

Important Deadlines:
====================

Submission Deadline: 1 June 2003 
Notification of Acceptance: 13 September 2003 
Final Revision Due: 1 October 2003 
Publication Date: January - February 2004

Guest Editors: 
==============

Laurence T. Yang (lyang-zunJFYPhlDo@xxxxxxxxxxxxxxxx) St. Francis Xavier 
University, Canada  
Marcin Paprzycki (marcin-WwYSd80vZ+3bI6/z8TGyug@xxxxxxxxxxxxxxxx) Oklahoma 
State University, USA  
Xiaohui Shen (axs095-qbu1+ugcRq/by3iVrkZq2A@xxxxxxxxxxxxxxxx) Motorola Inc, USA 
 
Xingfu Wu (wuxf-ACPegdETabGVc3sceRu5cw@xxxxxxxxxxxxxxxx) Northwestern 
University, USA

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