Load Adjustment and Filtering Based on Process Criticality

نویسندگان

  • Tei-Wei Kuo
  • Shie-Kai Ni
  • Giun-Haur Huang
چکیده

This paper generalizes the load scaling techniques proposed in [4, 5] for xed-priority real-time applications. A framework is proposed to adjust the system workload by relating the criticality and exibility of a process to the resource allocation problem. A load adjustment procedure based on the approximation algorithm [10] is proposed to maximize the system pro t in an on-line fashion. When the list of allowable con gurations is implicitly given by scalable periodic processes, the corresponding load ltering problems is shown to be NP-complete. We also prove the upper bound of the system pro t and provide a mechanism to balance the schedulability and the maximum pro t of the system.

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تاریخ انتشار 1998