Energy-aware Task Allocation onto Unrelated Heterogeneous Multicore Platform for Mixed Criticality Systems


Autoria(s): Ali Awan, Muhammad; Masson, Damien; Tovar, Eduardo
Data(s)

28/12/2015

28/12/2015

2015

Resumo

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.

Identificador

http://hdl.handle.net/10400.22/7262

Idioma(s)

eng

Relação

UID/CEC/04234/2013 (CISTER Research Centre)

ARTEMIS/0001/2013 - JU grant nr.621429 (EMC2)

ARTEMIS/0003/2012 - JU grant nr.333053 (CONCERTO).

RTSS;2015

Direitos

openAccess

Tipo

conferenceObject