Network-aware workload scheduling for scalable linked data stream processing

Lorenz Fischer, Thomas Scharrenbach, Abraham Bernstein · 2013

In order to cope with the ever-increasing data volume, distributed stream processing systems have been proposed. To ensure scalability most distributed systems partition the data and distribute the workload among multiple machines. This approach does, however, raise the question how the data and the workload

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