Automatic Partitioning of Object-Oriented Programs for Resource-Constrained Mobile Devices with Multiple Distribution Objectives
Parallel and Distributed Systems, International Conference on (2008)
Dec. 8, 2008 to Dec. 10, 2008
We describe a system that takes monolithic Java programs as its input and automatically converts them into distributed Java programs. Our research is situated in the context of resource-constrained mobile devices, in which there are often multiple distribution objectives, such as minimizing energy consumption on mobile devices by offloading workloads to a stationary server, or minimizing total execution time. Our method initially constructs an object relation graph (ORG), using a combination of static analysis and offline profiling. Instead of directly partitioning this ORG, we then transform it into a target graph (TG) to abstract from concrete distribution infrastructures and objectives. By applying this two-layer graph modeling, we achieve a unified strategy for different partitioning goals. Preliminary benchmarks for our prototype implementation are highly promising, with an average speedup factor of almost 1.5 and an average energy savings of 83.5% for the beneficial benchmarks.
Automatic Partitioning, Objected-Oriented, Resource-Constrained, Mobile Devices
Lei Wang, Michael Franz, "Automatic Partitioning of Object-Oriented Programs for Resource-Constrained Mobile Devices with Multiple Distribution Objectives", Parallel and Distributed Systems, International Conference on, vol. 00, no. , pp. 369-376, 2008, doi:10.1109/ICPADS.2008.84