Distributed Task Scheduling
Distributed Task Scheduling is a computational framework that orchestrates the allocation and execution of interdependent tasks across multiple networked nodes in a distributed system, distinguished by its coordination of task placement, timing, and resource management to optimize performance, fault tolerance, and load balancing.
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2017–2026
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Mesos: a platform for fine-grained resource sharing in the data center
Benjamin Hindman, Andy Konwinski, Matei Zaharia et al. · UC Berkeley · 2011 · 1.6K citations
Edouard Bugnion, Scott Devine, Kinshuk Govil et al. · ACM Transactions on Computer Systems · 1997 · 423 citations · Full text
Application-level scheduling on distributed heterogeneous networks
Francine Berman, Rich Wolski, Silvia Figueira et al. · 1996 · 403 citations · Full text
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University of Michigan
Ann Arbor, United States
18 h-index
38 publications
2.3K citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
13 h-index
24 publications
565 citations

University of Massachusetts Amherst
Amherst Center, United States
11 h-index
23 publications
2.9K citations
Tsinghua University
Beijing, China
10 h-index
30 publications
749 citations

Carleton University
Ottawa, Canada
8 h-index
11 publications
383 citations
National University of Singapore
Singapore, Singapore
8 h-index
16 publications
309 citations
Stanford University
Stanford, United States
8 h-index
17 publications
2.8K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
17 publications
1.1K citations
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17 publications · 2.2K citations
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TPDS · 17 publications · 1.5K citations
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13 publications · 667 citations
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TSE · 8 publications · 1.5K citations
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