Achieving high-throughput distributed, graph-based multi-stage stream processing
Processing complex computations on high volume streaming data in real time is a challenge for many organizational data processing systems. Such systems should produce results with low latency while processing billions of messages daily. In order to address these requirements distributed stream processing systems have been developed. Although high performance is one of the main goals of these systems, there is less attention has been paid for inter node communication performance which is a key aspect to achieve overall system performance. In this thesis we describe a framework for enhancing ...
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