使用WSO2复杂事件处理器对图形数据流进行连续分析

Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI:10.1145/2933267.2933508

Malith Jayasinghe, Anoukh Jayawardena, Bhagya Rupasinghe, Miyuru Dayarathna, S. Perera, Sriskandarajah Suhothayan, I. Perera

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引用次数: 6

摘要

ACM DEBS大挑战2016侧重于分析使用LDBC(关联数据基准委员会)社交网络基准生成的随时间演变的社交网络图的属性。在本文中，我们介绍了如何使用WSO2 CEP(一种开源的、商业上可用的复杂事件处理引擎)来解决这个问题。在一个4核/8 GB的虚拟机上，我们的解决方案每秒处理90,000个事件，查询1的平均延迟为6毫秒。对于查询2，它每秒处理210,000个事件，平均延迟仅为0.3 ms。本文介绍了我们提出的解决方案，实验结果，并介绍了我们如何优化我们的解决方案的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Continuous analytics on graph data streams using WSO2 complex event processor

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.

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Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems

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