Network-aware, energy-conscious, fair service for real-time applications on multiprocessor SoC
ACM SIGBED Review - Special Issue on the Work-in-Progress (WIP) Session at the 2009 IEEE Real-Time Systems Symposium (RTSS)
Enhancing multicore reliability through wear compensation in online assignment and scheduling
Proceedings of the Conference on Design, Automation and Test in Europe
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Energy-efficiency has been an important system issue in hardware and software designs for both real-time embedded systems and server systems. This research explores systems with probabilistic distribution on the execution time of real-time tasks on homogeneous multiprocessor platforms with the capability of dynamic voltage scaling (DVS). The objective is to derive a task partition which minimizes the expected energy consumption for completing all the given tasks in time. We give an efficient 1.13-approximation algorithm and a polynomial-time approximation scheme (PTAS) to provide worst-case guarantees for the strongly NP-hard problem. Experimental results show that the algorithms can effectively minimize the expected energy consumption.