articleJun 15, 2010Closed access

MAUI

Duke University · University of Massachusetts Amherst · +2 more institutions

Indexed incrossref

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

2,280
total citations
FWCI
114.74
Percentile
100%
References
37
Citations per year

Authors

7

Topics & keywords

Keywords
  • Computer science
  • Programmer
  • Operating system
  • Live migration
  • Partition (number theory)
  • Latency (audio)
  • Embedded system
  • Mobile device
No related works found for this paper.