Dynamic resource management in energy constrained heterogeneous computing systems using voltage scaling

Jong Kook Kim, Howard Jay Siegel, Anthony A. Maciejewski, Rudolf Eigenmann

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)


An ad hoc grid is a wireless heterogeneous computing environment without a fixed infrastructure. This study considers wireless devices that have different capabilities, have limited battery capacity, support dynamic voltage scaling, and are expected to be used for eight hours at a time and then recharged. To maximize the performance of the system, it is essential to assign resources to tasks (match) and order the execution of tasks on each resource (schedule) in a manner that exploits the heterogeneity of the resources and tasks while considering the energy constraints of the devices. In the single-hop ad hoc grid heterogeneous environment considered in this study, tasks arrive unpredictably, are independent (i.e., no precedent constraints for tasks), and have priorities and deadlines. The problem is to map (match and schedule) tasks onto devices such that the number of highest priority tasks completed by their deadlines during eight hours is maximized while efficiently utilizing the overall system energy. A model for dynamically mapping tasks onto wireless devices is introduced. Seven dynamic mapping heuristics for this environment are designed and compared to each other and to a mathematical bound.

Original languageEnglish
Pages (from-to)1445-1457
Number of pages13
JournalIEEE Transactions on Parallel and Distributed Systems
Issue number11
Publication statusPublished - 2008


  • Ad hoc
  • Distributed heterogeneous computing
  • Dynamic resource allocation/management
  • Dynamic voltage scaling
  • Energy-aware computing
  • Task priorities and deadlines

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Computational Theory and Mathematics


Dive into the research topics of 'Dynamic resource management in energy constrained heterogeneous computing systems using voltage scaling'. Together they form a unique fingerprint.

Cite this