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Load Balancing for Skewed Streams on Heterogeneous Cluster
[article]
2017
arXiv
pre-print
Streaming applications frequently encounter skewed workloads and execute on heterogeneous clusters. Optimal resource utilization in such adverse conditions becomes a challenge, as it requires inferring the resource capacities and input distribution at run time. In this paper, we tackle the aforementioned challenges by modeling them as a load balancing problem. We propose a novel partitioning strategy called Consistent Grouping (CG), which enables each processing element instance (PEI) to
arXiv:1705.09073v2
fatcat:fl4aygsuibhg3hfhle2m3vuowa