Donald Bren School of Information and Computer Sciences

In current DVS approaches, voltage scaling decisions are made statically at compile time, and/or dynamically at the OS level. While this has yielded excellent results for a wide range of applications, there is an even better solution for platform independent code (such as Java bytecode) that executes on virtual machines. Such virtual machines have fine-grained execution information about the actual workloads that run on them, as opposed to static compilers that at best have off-line profiling data from previous workloads. Based on their high-level model of the actual workload, virtual machines can make DVS decisions with high precision.