FERARI: A Prototype for Complex Event Processing over Streaming Multi-cloud Platforms

Proceedings of the 2016 International Conference on Management of Data Pub Date : 2016-06-26 DOI:10.1145/2882903.2899395

Ioannis Flouris, Vasiliki Manikaki, Nikos Giatrakos, Antonios Deligiannakis, M. Garofalakis, M. Mock, Sebastian Bothe, Inna Skarbovsky, Fabiana Fournier, Marko Stajcer, Tomislav Krizan, Jonathan Yom-Tov, Taji Curin

{"title":"FERARI: A Prototype for Complex Event Processing over Streaming Multi-cloud Platforms","authors":"Ioannis Flouris, Vasiliki Manikaki, Nikos Giatrakos, Antonios Deligiannakis, M. Garofalakis, M. Mock, Sebastian Bothe, Inna Skarbovsky, Fabiana Fournier, Marko Stajcer, Tomislav Krizan, Jonathan Yom-Tov, Taji Curin","doi":"10.1145/2882903.2899395","DOIUrl":null,"url":null,"abstract":"In this demo, we present FERARI, a prototype that enables real-time Complex Event Processing (CEP) for large volume event data streams over distributed topologies. Our prototype constitutes, to our knowledge, the first complete, multi-cloud based end-to-end CEP solution incorporating: a) a user-friendly, web-based query authoring tool, (b) a powerful CEP engine implemented on top of a streaming cloud platform, (c) a CEP optimizer that chooses the best query execution plan with respect to low latency and/or reduced inter-cloud communication burden, and (d) a query analytics dashboard encompassing graph and map visualization tools to provide a holistic picture with respect to the detected complex events to final stakeholders. As a proof-of-concept, we apply FERARI to enable mobile fraud detection over real, properly anonymized, telecommunication data from T-Hrvatski Telekom network in Croatia.","PeriodicalId":20483,"journal":{"name":"Proceedings of the 2016 International Conference on Management of Data","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2016 International Conference on Management of Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2882903.2899395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 23

Abstract

In this demo, we present FERARI, a prototype that enables real-time Complex Event Processing (CEP) for large volume event data streams over distributed topologies. Our prototype constitutes, to our knowledge, the first complete, multi-cloud based end-to-end CEP solution incorporating: a) a user-friendly, web-based query authoring tool, (b) a powerful CEP engine implemented on top of a streaming cloud platform, (c) a CEP optimizer that chooses the best query execution plan with respect to low latency and/or reduced inter-cloud communication burden, and (d) a query analytics dashboard encompassing graph and map visualization tools to provide a holistic picture with respect to the detected complex events to final stakeholders. As a proof-of-concept, we apply FERARI to enable mobile fraud detection over real, properly anonymized, telecommunication data from T-Hrvatski Telekom network in Croatia.

查看原文本刊更多论文

FERARI:流多云平台上复杂事件处理的原型

在这个演示中，我们展示了FERARI，这是一个原型，可以对分布式拓扑上的大容量事件数据流进行实时复杂事件处理(CEP)。据我们所知，我们的原型构成了第一个完整的、基于多云的端到端CEP解决方案，包括:a)用户友好的、基于web的查询编写工具，(b)在流云平台上实现的强大的CEP引擎，(c)选择最佳查询执行计划的CEP优化器，考虑到低延迟和/或减少云间通信负担，以及(d)包含图形和地图可视化工具的查询分析仪表板，为最终利益相关者提供有关检测到的复杂事件的整体图片。作为概念验证，我们应用FERARI对来自克罗地亚T-Hrvatski电信网络的真实、适当匿名的电信数据进行移动欺诈检测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Proceedings of the 2016 International Conference on Management of Data

自引率

0.00%

发文量