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Journal of Signal Processing Systems

, Volume 81, Issue 3, pp 359–375 | Cite as

Reliability-Guaranteed Task Assignment and Scheduling for Heterogeneous Multiprocessors Considering Timing Constraint

  • Juan Yi
  • Qingfeng ZhugeEmail author
  • Jingtong Hu
  • Shouzhen Gu
  • Mingwen Qin
  • Edwin H.-M. Sha
Article

Abstract

Heterogeneous multiprocessors have become the mainstream computing platforms nowadays and are increasingly employed for critical applications. Inherently, heterogeneous systems are more complex than homogeneous systems. The added complexity increases the potential of system failures. This paper addresses this problem by proposing a reliability-guaranteed task assignment and scheduling approach for heterogeneous multiprocessors considering timing constraint. We propose a two-phase approach to solve this problem. In the first phase, we determine assignments for heterogeneous multiprocessors such that both reliability requirement and timing constraint can be satisfied with the minimum total system cost. Efficient algorithms are proposed to produce optimal solutions for simple-path and tree-structured task graphs in polynomial time. When the input graph is a directed acyclic graph (DAG), the task assignment problem is NP-Complete. In this situation, we first develop an Integer Linear Programming (ILP) formulation to generate optimal solutions. Then, we propose a polynomial-time heuristic algorithm to find near optimal solutions. In the second phase, based on the assignments obtained in the first phase, we propose a minimum resource scheduling algorithm to generate a schedule and a feasible configuration that uses as little resource as possible. Experimental results show that the proposed algorithms and the ILP formulation can effectively reduce the total cost compared with the previous work.

Keywords

Task assignment Scheduling Heterogeneous Multiprocessor System reliability 

Notes

Acknowledgements

This work is partially supported by Chongqing High-Tech Research Program csct2012ggC40005, National 863 Program 2013AA013202, NSFC 61173014, NSFC 61472052

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Juan Yi
    • 1
  • Qingfeng Zhuge
    • 1
    Email author
  • Jingtong Hu
    • 2
  • Shouzhen Gu
    • 1
  • Mingwen Qin
    • 3
  • Edwin H.-M. Sha
    • 1
  1. 1.College of Computer ScienceChongqing UniversityChongqingPeople’s Republic of China
  2. 2.School of Electrical and Computer EngineeringOklahoma State UniversityStillwaterUSA
  3. 3.Department of Electrical EngineeringThe Hong Kong Polytechnic UniversityHung HomHong Kong

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