MAUI
Duke University · University of Massachusetts Amherst · +2 more institutions
Abstract
This paper presents MAUI, a system that enables fine-grained energy-aware offload of mobile code to the infrastructure. Previous approaches to these problems either relied heavily on programmer support to partition an application, or they were coarse-grained requiring full process (or full VM) migration. MAUI uses the benefits of a managed code environment to offer the best of both worlds: it supports fine-grained code offload to maximize energy savings with minimal burden on the programmer. MAUI decides at run-time which methods should be remotely executed, driven by an optimization engine that achieves the best energy savings possible under the mobile device's current connectivity constrains. In our…
Citation impact
- FWCI
- 114.74
- Percentile
- 100%
- References
- 37
Authors
7Topics & keywords
- Computer science
- Programmer
- Operating system
- Live migration
- Partition (number theory)
- Latency (audio)
- Embedded system
- Mobile device