Call for Papers

      Special Issue of the Performance Evaluation Journal on

      Long Range Dependence and Heavy Tail Distributions

            Guest Editor: Zhen Liu, IBM Research


One of the most important research topics in performance modeling and
evaluation
in the last decade has been the study of long range dependency and  heavy
tail
distributions of the Internet and Web traffic. Since the milestone
publication of Leland et al.
in 1993 (Sigcomm 1993), significant research effort has been spent on
traffic characterization
and modeling using long range dependent processes and heavy  tailed
distributions.
In parallel, queueing analyses with such forms of input traffic have
received a great
deal of attention by researchers of the performance evaluation community.
The goal of this special issue is to provide a comprehensive review of
these issues and
their impact in the Internet, Web services and applications, and
e-Business.

Topics of interest include (but are not limited to):
- Long range dependence: traffic characterization, traffic models
- Subexponential distributions: traffic characterization, traffic models
- Queueing analysis with long range dependent process and subexponential
traffic models
- Scheduling, control and optimization in the presence of long range
dependent and subexponential traffic models.

Both survey papers and original technical contributions will be accepted
for consideration.

Papers are to be submitted to Zhen Liu at zhen@watson.ibm.com. Only pdf or
ps files are accepted.
The presentation format should follow the Performance Evaluation journal
instructions.


Timelines:
- Submission deadline: June 30, 2003
- Notification of acceptance: September 30, 2003
- Revised version due: November 30, 2003
- Publication: March 2004