Ocelot: A wireless sensor network and computing engine with commodity palmtop computers

Haifeng Xu, Melissa M. Bilec, Laura A. Schaefer, Alex K. Jones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

The embedded class processors found in commodity palmtop computers continue to become increasingly capable while retaining an energy-efficient footprint. Palmtop computers themselves, including smartphones and tablets, provide a small form factor system integrating wireless communication and non-volatile storage with these energy-efficient processors. In this paper, we present Ocelot, a grid-like computing environment that leverages palmtop computers in place of traditional workstation or server class machines to compute highly parallel light to medium-weight tasks in an energy efficient manner. Ocelot is motivated to be used in a wireless sensor network environment where palmtop computers with onboard or attached sensors form nodes to obtain and process sensor data. Using a centralized server/dashboard, data processing jobs and managed and distributed to these palmtop computers to compute the results in parallel. Our results demonstrate that these palmtop machines provide significant energy advantage - average of 67% in our case study - over energy-optimized desktop, high-performance workstation and server class machines.

Original languageEnglish (US)
Title of host publication2013 International Green Computing Conference Proceedings, IGCC 2013
PublisherIEEE Computer Society
ISBN (Print)9781479906222
DOIs
StatePublished - 2013
Event2013 International Green Computing Conference, IGCC 2013 - Arlington, VA, United States
Duration: Jun 27 2013Jun 29 2013

Publication series

Name2013 International Green Computing Conference Proceedings, IGCC 2013

Other

Other2013 International Green Computing Conference, IGCC 2013
Country/TerritoryUnited States
CityArlington, VA
Period6/27/136/29/13

Keywords

  • Distributed computing
  • energy
  • palmtop devices
  • parallelism
  • wireless sensor network

ASJC Scopus subject areas

  • Software

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