Deluge: Achieving Superior Efficiency, Throughput, and Scalability with Actor Based Streaming on Migrating Threads

Applications where streams of data are passed through large data structures are becoming of increasing importance. For instance network intrusion detection and cyber security as a whole rely on real time analysis of network traffic. Unfortunately, when implemented on conventional architectures such applications become horribly inefficient, especially when attempts are made to scale up performance via some sort of parallelism. An earlier paper discussed streaming anomaly detection within a stream having an unbounded range of keys on the Lucata migrating thread architecture. In this paper we introduce Deluge, a new implementation that addresses several inadequacies of previous designs and seeks to more directly target the hardware efficiencies inherent to migratory execution within a PGAS address space. Deluge achieves major improvements in hardware efficiency, throughput, and scalability over previous implementations.