Reliability-aware Scheduling
Reliability-Aware Scheduling is a computational scheduling framework that incorporates system and component reliability models to optimize task allocation and execution timing in edge computing environments by explicitly accounting for the probabilistic failure behaviors of heterogeneous edge resources.
131
Publications
5.8K
Citations
391
Authors
193
Institutions
Publications per year
2017–2026
55
Parents
131
Deep Reinforcement Learning based Resource Allocation in Low Latency Edge Computing Networks
Tianyu Yang, Yulin Hu, M. Cenk Gursoy et al. · 2018 · 150 citations
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Hunan University
Changsha, China
7 h-index
26 publications
2.4K citations

University of Tehran
Tehran, Iran
5 h-index
13 publications
261 citations
University of Michigan
Ann Arbor, United States
4 h-index
6 publications
256 citations

Chongqing University
Chongqing, China
4 h-index
11 publications
247 citations

University of Notre Dame
Notre Dame, United States
4 h-index
6 publications
203 citations
SUNY New Paltz
New Paltz, United States
4 h-index
11 publications
1K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
4 publications
158 citations
New Jersey Institute of Technology
Newark, United States
3 h-index
4 publications
130 citations
1–8 of 193
6 publications · 256 citations
6
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5 publications · 279 citations
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TPDS · 5 publications · 424 citations
5
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4 publications · 361 citations
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3 publications · 359 citations
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