Research on the relationship between anomalous cases in parallel scheduling problems and executor performance

The article examines the problem of optimal task allocation with a partial order, aimedat minimizing the total execution time. It suggests that adding certain conditions, which in-tuitively should improve the result, may actually worsen the objective function.Anomalies arising from varying executor performance are analyzed. It is shown that anuneven task distribution can create "bottlenecks" and reduce efficiency, even if the execu-tors' productivity increases. Conditions for avoiding anomalies are proposed: prioritizedtask assignment, load balancing, and dynamic rescheduling.

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Publication Details

Journal
Problems of applied mathematics and mathematic modeling
Published
2024-11-22
DOI
https://doi.org/10.15421/322413
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on the relationship between anomalous cases in parallel scheduling problems and executor performance

O.O. Maliienko, V.A. Turchyna
Problems of applied mathematics and mathematic modeling
Distributed and Parallel Computing Systems
article

Research on the relationship between anomalous cases in parallel scheduling problems and executor performance

O.O. Maliienko, V.A. Turchyna
article en

Abstract

The article examines the problem of optimal task allocation with a partial order, aimedat minimizing the total execution time. It suggests that adding certain conditions, which in-tuitively should improve the result, may actually worsen the objective function.Anomalies arising from varying executor performance are analyzed. It is shown that anuneven task distribution can create "bottlenecks" and reduce efficiency, even if the execu-tors' productivity increases. Conditions for avoiding anomalies are proposed: prioritizedtask assignment, load balancing, and dynamic rescheduling.

Problems of applied mathematics and mathematic modeling
Oles Honchar Dnipro National University (UA)
Openalex Percentile: Top 68%
Distributed and Parallel Computing Systems
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