Network-aware, energy-conscious, fair service for real-time applications on multiprocessor SoC

Authors:
Thidapat Chantem;X. Sharon Hu;Christian Poellabauer;Jun Yi;Liqiang Zhang
Affiliations:
University of Notre Dame, Notre Dame, IN;University of Notre Dame, Notre Dame, IN;University of Notre Dame, Notre Dame, IN;University of Notre Dame, Notre Dame, IN;Indiana University South Bend, South Bend, IN
Venue:
ACM SIGBED Review - Special Issue on the Work-in-Progress (WIP) Session at the 2009 IEEE Real-Time Systems Symposium (RTSS)
Year:
2010

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Abstract

We consider systems consisting of wireless nodes that execute CPU intensive applications on multiprocessor systemon- a-chip (MPSoC) and must transmit packets over the network in a timely manner. Existing methods do not consider packet deadlines in conjunction with energy and real-time task performance, making it hard to predict system behavior. We present an energy-aware adaptive CPU scheduling algorithm to maximize the number of packet deadlines met in a fair manner and discuss future work.