Skip to main content
Article thumbnail
Location of Repository

Balancing Computation and Communication Costs: The Case for Hybrid Execution in Sensor Networks

By Ingwar Wirjawan, Joel Koshy, Raju P and Yann Ramin

Abstract

Abstract — Virtual machines (VM) are promising as system software in sensor networks. A major impediment to their widespread acceptance is their performance overhead. Compiling VM bytecode to native code addresses this, but increases footprint and code distribution costs. Thus, there is an important tradeoff between cost of computing, and cost of communication due to code distribution. In this paper, we describe a remote Just-In-Time (JIT) compilation service for the VM ⋆ framework that is effective in combining interpretation with native execution to arrive at an efficient hybrid execution configuration. The principles apply to any middleware used to develop applications in sensor networks. I

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.7713
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://wwwcsif.cs.ucdavis.edu/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.