An Intelligent Optimization-Based Load Balancing Scheduling Algorithm for Flink Tasks

To address the issues of resource usage imbalance and throughput bottlenecks caused by Flink's default scheduling strategy, a balanced scheduling algorithm based on Simulated Annealing and Particle Swarm Optimization (SA-PSOBS) is proposed. First, by real-time collection of task monitoring and...

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Vydané v:	2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT) s. 2091 - 2096
Hlavní autori:	Pan, Yuepeng, Liu, Yong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 21.03.2025
Predmet:	Adaptive dynamic scheduling algorithm Balanced scheduling Big data Distributed computing Dynamic scheduling Heuristic algorithm Heuristic algorithms Load management Optimization Parallel processing Particle swarm optimization Resource management Scheduling algorithms Simulated annealing Stream computing Throughput
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