Three types of subcube management strategies are being investigated. The program can be divided into two parts. The first part is concerned with design and analysis of algorithms that are necessary for efficiently implementing such strategies. Problems to be solved in this part of research are mostly combinatorial optimization problems, and the approaches will be algorithmic and analytic. The second part of this project is concerned with performance evaluations and comparisons of different subcube management strategies. The study will be based on probabilistic models, and both analytic and simulation techniques will be employed.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Type
Standard Grant (Standard)
Application #
9010589
Program Officer
Yechezkel Zalcstein
Project Start
Project End
Budget Start
1990-06-15
Budget End
1993-05-31
Support Year
Fiscal Year
1990
Total Cost
$60,000
Indirect Cost
Name
Ohio State University
Department
Type
DUNS #
City
Columbus
State
OH
Country
United States
Zip Code
43210