Limited Resources Platform Implementation of Complex Event Processing System

J. Lang, Peter Gabas
{"title":"Limited Resources Platform Implementation of Complex Event Processing System","authors":"J. Lang, Peter Gabas","doi":"10.1145/3134302.3134331","DOIUrl":null,"url":null,"abstract":"Static although structured queries performed on data that is stored in relation databases or data warehouses are not sufficient enough for systems that are running in real-time, where the focus of monitoring is decided during the runtime of an application. Given that the cessation of activity of the core applications may not be admissible only compounded the problem. However, this solves complex event processing where time is perceived as more important than the actual parameter data persistence. There are currently a number of commercial and non-commercial CEP engines but most of them are very robust and non-optimized for use on platforms with limited resources. In this paper we propose modular and non-robust complex event processing solution for mobile devices with Android. This proposal is based on Publish Subscribe design pattern with a view to its possible further extension. Thus implemented prototype allows processing sensor data from various sources, both inside the device, as well as sensors from other connected devices. To demonstrate the usability of our approach, a mobile application for detection of potential threats to health was developed. This application, utilizing the CEP engine, can warn its users of any danger to their health, based on the predefined complex rules. We have analyzed several solutions and their application possibilities for use on platforms with limited resources. We have designed and implemented a prototype to support the development of complex events for the Android platform. Finally we have tested our approach with the existing solutions in comparable level.","PeriodicalId":131196,"journal":{"name":"Proceedings of the 18th International Conference on Computer Systems and Technologies","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 18th International Conference on Computer Systems and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3134302.3134331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Static although structured queries performed on data that is stored in relation databases or data warehouses are not sufficient enough for systems that are running in real-time, where the focus of monitoring is decided during the runtime of an application. Given that the cessation of activity of the core applications may not be admissible only compounded the problem. However, this solves complex event processing where time is perceived as more important than the actual parameter data persistence. There are currently a number of commercial and non-commercial CEP engines but most of them are very robust and non-optimized for use on platforms with limited resources. In this paper we propose modular and non-robust complex event processing solution for mobile devices with Android. This proposal is based on Publish Subscribe design pattern with a view to its possible further extension. Thus implemented prototype allows processing sensor data from various sources, both inside the device, as well as sensors from other connected devices. To demonstrate the usability of our approach, a mobile application for detection of potential threats to health was developed. This application, utilizing the CEP engine, can warn its users of any danger to their health, based on the predefined complex rules. We have analyzed several solutions and their application possibilities for use on platforms with limited resources. We have designed and implemented a prototype to support the development of complex events for the Android platform. Finally we have tested our approach with the existing solutions in comparable level.
复杂事件处理系统的有限资源平台实现
对于实时运行的系统来说,对存储在关系数据库或数据仓库中的数据执行静态但结构化的查询是不够的,因为在实时运行的系统中,监控的重点是在应用程序运行时决定的。鉴于停止核心应用程序的活动可能是不可接受的,这只会使问题更加复杂。然而,这解决了复杂的事件处理,其中时间被认为比实际参数数据持久性更重要。目前有许多商业和非商业的CEP引擎,但它们中的大多数都非常健壮,并且没有针对资源有限的平台进行优化。本文提出了一种针对Android移动设备的模块化非鲁棒复杂事件处理方案。此建议基于发布订阅设计模式,并考虑到其可能的进一步扩展。因此,实现的原型允许处理来自设备内部以及来自其他连接设备的传感器的各种来源的传感器数据。为了证明我们方法的可用性,我们开发了一个用于检测潜在健康威胁的移动应用程序。此应用程序利用CEP引擎,可以根据预定义的复杂规则,警告其用户任何危及其健康的危险。我们分析了几种解决方案及其在资源有限的平台上使用的应用可能性。我们已经设计并实现了一个原型来支持Android平台上复杂事件的开发。最后,我们用现有的解决方案在可比水平上测试了我们的方法。
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信