The event-driven programming model has been proposed to efficiently process iterative applications and incremental applications. In clusters based the event-driven model, applications are structured as a series of triggers, each of which will be invoked when associate events are trigged. And framework assigns a newly submitted trigger to a node where the relevant datasets set. Unfortunately it may lead to load imbalance because associate events occur by chance. Numerous triggers in a node may be simultaneously invoked but other nodes have no triggers running. Jobs composed of short, sub-second triggers present a difficult balancing challenge. To the end, we design DLBer, a new dynamic load balancing algorithm for the event-driven clusters to maximize improve the utilization of node resources. © 2014 IFIP International Federation for Information Processing.
CITATION STYLE
Sun, M., Li, C., Zhou, X., Lu, K., & Zhuang, H. (2014). DLBer: A dynamic load balancing algorithm for the event-driven clusters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8707 LNCS, pp. 608–611). Springer Verlag. https://doi.org/10.1007/978-3-662-44917-2_64
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