To achieve improved performance, application schedulers are typically designed to satisfy the resource requirements of specific applications. Consequently, application characteristics and models are often embedded in the scheduler itself. Results have shown that this strategy is effective for achieving improved application performance. However, application-specific schedulers may not be easily retargeted for other applications. In this thesis, we propose a modular application scheduler design that employs detailed application performance models and mapping strategies that promote application performance, but does not embed such components within the scheduler itself. Our scheduler is both environment-sensitive and configurable. To ensure that schedules are properly targeted for conditions of the target execution environment at run-time, the scheduler can incorporate dynamic resource availability in scheduling decisions. The scheduler also supports a set of configurable scheduling policies that are easily tuned to control scheduler behavior. We implement a prototype scheduler and use the class of iterative, mesh-based applications to test the prototype. We implement two test applications, Jacobi and the Game of Life, and develop performance models and mapping strategies for each application. We present experimental results we obtained by applying our scheduling methodology to Jacobi and the Game of Life in Computational Grid environments. Our testbeds included up to 20 machines organized in 4 clusters at 3 geographically distributed sites. In these experiments, our approach consistently outperforms conventional scheduling approaches.
The authors of these documents have submitted their reports to this technical report series for the purpose of non-commercial dissemination of scientific work. The reports are copyrighted by the authors, and their existence in electronic format does not imply that the authors have relinquished any rights. You may copy a report for scholarly, non-commercial purposes, such as research or instruction, provided that you agree to respect the author's copyright. For information concerning the use of this document for other than research or instructional purposes, contact the authors. Other information concerning this technical report series can be obtained from the Computer Science and Engineering Department at the University of California at San Diego, firstname.lastname@example.org.
[ Search ]