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pmcEDF :
pmcEDF : An Energy Efficient Procrastination Scheduler for Multi-core Mixed Criticality Systems
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- Colaco, L. (författare)
- Bits Pilani K. K. Birla Goa Campus, Department of Computer Science & Information Systems, Goa, India
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- Pai, A. (författare)
- Bits Pilani K. K. Birla Goa Campus, Department of Computer Science & Information Systems, Goa, India
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- Raveendran, B. K. (författare)
- Bits Pilani K. K. Birla Goa Campus, Department of Computer Science & Information Systems, Goa, India
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- Punnekkat, Sasikumar (författare)
- Mälardalens universitet,Inbyggda system
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Bits Pilani K K. Birla Goa Campus, Department of Computer Science & Information Systems, Goa, India Inbyggda system (creator_code:org_t)
- Institute of Electrical and Electronics Engineers Inc. 2022
- 2022
- Engelska.
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Ingår i: IEEE Int. Conf. High Perform. Comput. Commun., Int. Conf. Data Sci. Syst., Int. Conf. Smart City Int. Conf. Dependability Sensor, Cloud Big Data Syst. Applications, HPCC-DSS-SmartCity-DependSys. - : Institute of Electrical and Electronics Engineers Inc.. - 9781665494571 ; , s. 727-732
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The ever increasing computational demands with size, weight, energy, power and time guidelines necessitates innovative energy efficient techniques in multi-core mixed criticality applications. Energy efficient design considerations include energy optimization techniques such as dynamic-voltage-and-frequency-scaling (DVFS) and dynamic-power-management (DPM). DPM techniques of procrastination and power shutdown reduce static and dynamic energy consumption efficiently. This work presents pmcEDF, a procrastination technique that extends the Earliest Deadline First with Virtual Deadlines (EDF-VD) scheduler to support both non-shutdown and shutdown cores. pmcEDF aims to reduce static and dynamic energy consumption by ensuring high criticality job deadlines without hampering quality of service by accommodating feasible low criticality jobs. Experimental evaluation shows that the proposed algorithm provides a total energy saving of 3.61%, 4.76% and 39.16% over existing EDF/EDF-VD based techniques.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
Nyckelord
- energy efficiency
- mixed criticality systems
- multi-core
- procrastination
- safety criticality
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- kon (ämneskategori)
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