Energy Minimization for On-Line Real-Time Scheduling with Reliability Awareness

dc.contributor.authorYang, Xiaokun
dc.date.accessioned2020-04-20T17:57:12Z
dc.date.available2020-04-20T17:57:12Z
dc.date.issued2017-05
dc.description.abstractUnder current development of semiconductor technology, there is an exponential increase in transistor density on a single processing chip. This aggressive transistor integration significantly boosts the computing performance. However, it also results in a power explosion, which immediately decreases the system reliability. Moreover, some well-known power/energy reduction techniques, i.e. Dynamic Voltage and Frequency Scaling (DVFS), can cause adverse impact on system reliability. How to effectively manage the power/energy consumption, meanwhile keep the system reliability under control, is critical for the design of high performance computing systems. In this paper, we present an online power management approach to minimize the energy consumption for single processor real-time scheduling under reliability constraint. We formally prove that the proposed algorithm can guarantee the system reliability requirement. Our simulation results show that, by exploiting the run-time dynamics, the proposed approach can achieve more energy savings over previous work under reliability constraint.en_US
dc.identifier.citationM. Fan, Q. Han, and X. Yang, "Energy Minimization for On-Line Real-Time Scheduling with Reliability Awareness," Elsevier Journal of Systems and Software. (JSS IF: 1.424), Vol. 127, PP. 168-176, May 2017.en_US
dc.identifier.urihttps://hdl.handle.net/10657.1/2274
dc.language.isoen_USen_US
dc.publisherElsevier Journal of Systems and Softwareen_US
dc.subjectEnergy minimization, ReliabilityMulti-core systems, Real-time schedulingen_US
dc.titleEnergy Minimization for On-Line Real-Time Scheduling with Reliability Awarenessen_US
dc.typeArticleen_US

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