MF-Storm: a maximum flow-based job scheduler for stream processing engines on computational clusters to increase throughput

A scheduling algorithm tries to schedule multiple computational tasks on a cluster of multiple computing nodes to maximize throughput with optimal utilization of computational and communicational resources. A Stream Processing Engine (SPE) is deployed to run streaming applications (computational tas...

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Veröffentlicht in:	PeerJ. Computer science Jg. 8; S. e1077
Hauptverfasser:	Muhammad, Asif, Abdul Qadir, Muhammad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	San Diego PeerJ. Ltd 26.09.2022 PeerJ, Inc PeerJ Inc
Schlagworte:	Algorithms Algorithms and Analysis of Algorithms APACHE storm Artificial Intelligence Bandwidths Clusters Communication Computation Distributed and Parallel Computing Experiments Heterogeneous cluster Job scheduler Literature reviews Mutual funds Network latency Nodes Optimization Resource utilization Resource-aware Schedules Scheduling Social networks Software Stream processing engines Task scheduling Topology Workloads
ISSN:	2376-5992, 2376-5992
Online-Zugang:	Volltext
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