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Scheduling in distributed systems: A cloud computing perspective
Distributed, Parallel, and Cluster Computing · Submitted 10 Jan 2019
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim Finally, we identify relevant future directions in scheduling for distributed systems.
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The abstract, sentence by sentence
Scheduling is essentially a decision-making process that enables resource sharing among a number of activities by determining their execution order on the set of available resources. The emergence of distributed systems brought new challenges on scheduling in computer systems, including clusters, grids, and more recently clouds. On the other hand, the plethora of research makes it hard for both newcomers researchers to understand the relationship among different scheduling problems and strategies proposed in the literature, which hampers the identification of new and relevant research avenues. In this paper we introduce a classification of the scheduling problem in distributed systems by presenting a taxonomy that incorporates recent developments, especially those in cloud computing. We review the scheduling literature to corroborate the taxonomy and analyze the interest in different branches of the proposed taxonomy. Finally, we identify relevant future directions in scheduling for distributed systems.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | Scheduling is essentially a decision-making process that enables resource sharing among a number of activities by determining their execution order on the set of available resources. | background 1.00 | 0.05 | 0.02 | asserted 1.00 |
| s1 | The emergence of distributed systems brought new challenges on scheduling in computer systems, including clusters, grids, and more recently clouds. | background 1.00 | 0.04 | 0.02 | asserted 1.00 |
| s2 | On the other hand, the plethora of research makes it hard for both newcomers researchers to understand the relationship among different scheduling problems and strategies proposed in the literature, which hampers the identification of new and relevant research avenues. | gap 0.95 | 0.06 | 0.02 | asserted 1.00 |
| s3 | In this paper we introduce a classification of the scheduling problem in distributed systems by presenting a taxonomy that incorporates recent developments, especially those in cloud computing. | contribution 1.00 | 0.94 | 0.14 | asserted 1.00 |
| s4 | We review the scheduling literature to corroborate the taxonomy and analyze the interest in different branches of the proposed taxonomy. | method 0.57 | 0.89 | 0.05 | asserted 0.96 |
| s5 | Finally, we identify relevant future directions in scheduling for distributed systems. | future work 0.96 | 0.93 | 0.20 | asserted 0.99 |
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The paper
Original abstract
Scheduling is essentially a decision-making process that enables resource sharing among a number of activities by determining their execution order on the set of available resources. The emergence of distributed systems brought new challenges on scheduling in computer systems, including clusters, grids, and more recently clouds. On the other hand, the plethora of research makes it hard for both newcomers researchers to understand the relationship among different scheduling problems and strategies proposed in the literature, which hampers the identification of new and relevant research avenues. In this paper we introduce a classification of the scheduling problem in distributed systems by presenting a taxonomy that incorporates recent developments, especially those in cloud computing. We review the scheduling literature to corroborate the taxonomy and analyze the interest in different branches of the proposed taxonomy. Finally, we identify relevant future directions in scheduling for distributed systems.
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