An autonomic resource provisioning framework for mobile computing grids

Hariharasudhan Viswanathan, Eun Kyung Lee, Ivan Rodero, Dario Pompili

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

13 Scopus citations

Abstract

Enabling data- and compute-intensive applications that require realtime in-the-field data collection and processing using mobile platforms is still a significant challenge due to i) the insufficient computing capabilities and unavailability of complete data on individual mobile devices and ii) the prohibitive communication cost and response time involved in offloading data to remote computing resources such as clouds for centralized computation. A novel resource provisioning framework is proposed for organizing the heterogeneous sensing, computing, and communication capabilities of static and mobile devices in the vicinity in order to form an elastic resource pool (a heterogeneous mobile computing grid) that can be harnessed to collectively process massive amounts of locally generated data in parallel. The proposed framework is imparted with autonomic capabilities, namely, self-optimization and self-organization, in order to be energy and uncertainty aware, respectively, in the dynamic mobile environment.

Original languageEnglish (US)
Title of host publicationICAC'12 - Proceedings of the 9th ACM International Conference on Autonomic Computing
Pages79-83
Number of pages5
DOIs
StatePublished - 2012
Event9th ACM International Conference on Autonomic Computing, ICAC'12 - San Jose, CA, United States
Duration: Sep 18 2012Sep 20 2012

Publication series

NameICAC'12 - Proceedings of the 9th ACM International Conference on Autonomic Computing

Other

Other9th ACM International Conference on Autonomic Computing, ICAC'12
CountryUnited States
CitySan Jose, CA
Period9/18/129/20/12

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Applied Mathematics

Keywords

  • Autonomic management
  • Mobile grids
  • Uncertainty

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