Presented at Work in Progress Session, IEEE Real-Time Systems Symposium (RTSS 2015). 1 to 4, Dec, 2015. San Antonio, U.S.A..Heterogeneous multicore platforms have become anattractive choice to deploy mixed criticality systems demandingdiverse computational requirements. One of the major challengesis to efficiently harness the computational power of these multicore platforms while deploying mixed criticality applications.The problem is acerbated with an additional demand of energyefficiency. It is particularly relevant for the battery poweredembedded systems. We propose a partitioning algorithm forunrelated heterogeneous multicore platforms to map mixedcriticality applications that ensures the timeliness property andreduces the energy consumption
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