Computation Offloading for Frame-Based Real-Time Tasks under Given Server Response Time Guarantees

Authors Anas S. M. Toma, Jian-Jia Chen



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Author Details

Anas S. M. Toma
  • Institute for Process Control and Robotics, Department of Informatics, Karlsruhe Institute of Technology (KIT), Germany
Jian-Jia Chen
  • Department of Informatics, TU Dortmund University, Germany

Cite As Get BibTex

Anas S. M. Toma and Jian-Jia Chen. Computation Offloading for Frame-Based Real-Time Tasks under Given Server Response Time Guarantees. In LITES, Volume 1, Issue 2 (2014). Leibniz Transactions on Embedded Systems, Volume 1, Issue 2, pp. 02:1-02:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014) https://doi.org/10.4230/LITES-v001-i002-a002

Abstract

Computation offloading has been adopted to improve the performance of embedded systems by offloading the computation of some tasks, especially computation-intensive tasks, to servers or clouds. This paper explores computation offloading for real-time tasks in embedded systems, provided given response time guarantees from the servers, to decide which tasks should be offloaded to get the results in time. We consider frame-based real-time tasks with the same period and relative deadline. When the execution order of the tasks is given, the problem can be solved in linear time. However, when the execution order is not specified, we prove that the problem is NP-complete. We develop a pseudo-polynomial-time algorithm for deriving feasible schedules, if they exist.  An approximation scheme is also developed to trade the error made from the algorithm and the complexity. Our algorithms are extended to minimize the period/relative deadline of the tasks for performance maximization. The algorithms are evaluated with a case study for a surveillance system and synthesized benchmarks.

Subject Classification

ACM Subject Classification
  • Software and its engineering
  • Software and its engineering → Scheduling
  • Computer systems organization
  • Computer systems organization → Real-time systems
Keywords
  • Computation offloading
  • Task scheduling
  • Real-time systems

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