Continuous analytics on graph data streams using WSO2 complex event processor

Abstract

The ACM DEBS Grand Challenge 2016 focuses on analysing the properties of a time evolving social-network graph generated using LDBC (Linked Data Benchmark Council) Social Network Benchmark. In this paper we present how we used WSO2 CEP, an open source, commercially available Complex Event Processing Engine, to solve the problem. On a 4-core/8 GB virtual machine, our solution processed 90,000 events per second with a mean latency of 6 ms for query 1. For query 2 it processed 210,000 events per second with a mean latency of only 0.3 ms. The paper describes the solution we propose, the experiments' results, and presents how we optimized the performance of our solution.