An Adaptive Framework for Multiprocessor Real-Time Systems

نویسندگان

  • Aaron Block
  • Björn Brandenburg
  • James H. Anderson
  • Stephen Quint
چکیده

In this paper, we develop an adaptive scheduling framework for changing the processor shares of tasks—a process called reweighting—on real-time multiprocessor platforms. Our particular focus is adaptive frameworks that are deployed in environments in which tasks may frequently require significant share changes. Prior work on enabling realtime adaptivity on multiprocessors has focused exclusively on scheduling algorithms that can enact needed adaptations. The algorithm proposed in this paper uses both feedback and optimization techniques to determine at runtime which adap-

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Approved by:

AARON D. BLOCK: Adaptive Multiprocessor Real-Time Systems (Under the direction of James H. Anderson) Over the past few years, as multicore technology has become cost-effective, multiprocessor systems have become increasingly prevalent. The growing availability of such systems has spurred the development of computationally-intensive applications for which single-processor designs are insufficien...

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تاریخ انتشار 2008