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Real-world stream data with skewed distribution raises unique challenges to distributed stream processing systems. Existing stream workload partitioning schemes usually use a “one size fits all” design, which leverage either a shuffle grouping or a key grouping strategy for partitioning the stream workloads among multiple processing units, leading to notable problems of unsatisfied system throughput...
Emerging scientific application workflows are composed of heterogeneous coupled component applications that simulate different aspects of the physical phenomena being modeled, and that interact and exchange significant volumes of data at runtime. With the increasing performance gap between on-chip data sharing and off-chip data transfers in current systems based on multicore processors, moving large...
Peer-to-peer (P2P) on-demand streaming systems inevitably suffer from peers churn that is the inherent dynamic characteristic of overlay network. With frequent peer departure, a large amount of media data cached on peer disk turns offline and unavailable, which becomes the major reason of heavy server load. To address the above issue, a new proactive data replication mechanism is proposed and implemented...
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