Our goal is a collaborative research effort aimed at removing the computational barriers to the widespread adoption of Markov chain modeling technology in the software performance engineering process.

We will approach the problem from different and complementary points of view, and have the necessary means to solve many of the remaining computational issues. The results of the proposed research will open up the Markov modeling field to a surge of new, and probably unanticipated, research activity in very diverse areas of national and international importance, and provide a path towards the compositional performance assessment of systems built from off-the-shelf software modules.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Network Systems (CNS)
Application #
0501747
Program Officer
Anita J. LaSalle
Project Start
Project End
Budget Start
2004-02-05
Budget End
2007-08-31
Support Year
Fiscal Year
2005
Total Cost
$278,916
Indirect Cost
Name
University of California Riverside
Department
Type
DUNS #
City
Riverside
State
CA
Country
United States
Zip Code
92521