Fault-aware Scheduling
Fault-Aware Scheduling is a scheduling paradigm in distributed heterogeneous systems that belongs to the class of resource management strategies and is distinguished by its explicit incorporation of fault probability, resilience requirements, and system reliability characteristics into the task assignment and execution timeline decisions to minimize service disruptions and performance degradation.
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397
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201
Institutions
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2017–2026
45
Variants
Fault Aware Scheduling
142
Shafi’i Muhammad Abdulhamid, Muhammad Shafie Abd Latiff, Syed Hamid Hussain Madni et al. · Neural Computing and Applications · 2016 · 128 citations
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Centre National de la Recherche Scientifique
Paris, France
5 h-index
12 publications
386 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
5 h-index
10 publications
212 citations
University of Illinois Chicago
Chicago, United States
4 h-index
8 publications
160 citations

Concordia University
Montreal, Canada
4 h-index
9 publications
274 citations

Illinois Institute of Technology
Chicago, United States
4 h-index
13 publications
456 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
6 publications
493 citations

National University of Defense Technology
Changsha, China
4 h-index
13 publications
506 citations
The University of Texas at San Antonio
San Antonio, United States
3 h-index
6 publications
128 citations
1–8 of 201
7 publications · 251 citations
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6 publications · 127 citations
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FGCS · 5 publications · 143 citations
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4 publications · 121 citations
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3 publications · 310 citations
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