Queueing theory has long been an important area of applied probability. Realistic applications require fairly complex systems. In particular arrivals to a single queue may come from a number of different distributions. These can be modeled as a superposition of point processes. This research is designed to identify and solve the important problems in applying this type of model to communication systems. Problems in communications can often be solved by studying appropriate probability models. This research is designed to identify such problems and solve them by using the appropriate probability models.

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Type
Standard Grant (Standard)
Application #
9210039
Program Officer
Keith Crank
Project Start
Project End
Budget Start
1992-07-15
Budget End
1993-06-30
Support Year
Fiscal Year
1992
Total Cost
$17,442
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109