Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems最新文献_第8页

Dynamic QoS-aware event sampling for community-based participatory sensing systems 基于社区的参与式传感系统的动态qos感知事件抽样

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2012-07-16 DOI: 10.1145/2335484.2335502

Ioannis Boutsis, V. Kalogeraki

引用次数: 9

Context-model generation for safe autonomous transport vehicles 安全自动运输车辆的情境模型生成

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2012-07-16 DOI: 10.1145/2335484.2335524

Christian Kuka, S. Gerwinn, S. Schweigert, S. Eilers, D. Nicklas

引用次数: 3

Capturing episodes: may the frame be with you 捕捉片段:愿框架与你同在

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2012-07-16 DOI: 10.1145/2335484.2335485

D. Maier, Michael Grossniklaus, Sharmadha Moorthy, K. Tufte

{"title":"Capturing episodes: may the frame be with you","authors":"D. Maier, Michael Grossniklaus, Sharmadha Moorthy, K. Tufte","doi":"10.1145/2335484.2335485","DOIUrl":"https://doi.org/10.1145/2335484.2335485","url":null,"abstract":"We are interested in detecting episodes in a data stream that are characterized by a period of time over which a condition holds, usually with a minimum duration. For example, we might want to know whenever any router has a packet-drop rate above 0.3% continuously for more than two minutes. Such episodes can be interesting in their own right for monitoring purposes, but they can also specify target regions for examination over the original or other stream. For instance, for each router-drop episode we detect, we might want to count the number of control messages the router received. We assert the key requirements are to detect the episodes, detect them accurately, and detect them promptly. Current capabilities for data-stream management systems (DSMSs) include functionality, such as pattern-matching and windowed aggregates, that can help with detecting some kinds of episodes. We offer a third alternative, frames, which generalizes the other two. Frames are intervals that segment a data stream into regions of interest. In contrast to windows, frame boundaries can be data dependent, such as when a predicate holds for a given duration, or the maximum and minimum values of an attribute diverge more than a certain amount. We introduce frames and their theory, plus their implementation in the NiagaraST DSMS. We then demonstrate some advantages of frames versus windows, such as better characterization of episodes, on real data sets and explore an extension, fragments, to deal with long episodes.","PeriodicalId":92123,"journal":{"name":"Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems","volume":"1 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89075055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

A highly efficient cloud-based architecture for large-scale STB event processing: industry article 用于大规模机顶盒事件处理的高效基于云的架构:行业文章

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2012-07-16 DOI: 10.1145/2335484.2335518

Bin Cao, Jianwei Yin, Shuiguang Deng, Yueshen Xu, Youneng Xiao, Zhaohui Wu

{"title":"A highly efficient cloud-based architecture for large-scale STB event processing: industry article","authors":"Bin Cao, Jianwei Yin, Shuiguang Deng, Yueshen Xu, Youneng Xiao, Zhaohui Wu","doi":"10.1145/2335484.2335518","DOIUrl":"https://doi.org/10.1145/2335484.2335518","url":null,"abstract":"With the popularization and ripeness of DTV (Digital television) and IPTV (Internet Protocol television), the STB (Set-Top Box) devices are playing more and more important roles in improving the interactive TV applications. Through STB devices, millions of users can publish/subscribe their interested events when they are participating in different applications. Furthermore, it is likely that a very large number of events would be published simultaneously and processing these events under critical timing constrains is often required by lots of applications. How to subscribe and process this large amount of events in real time is rather a challenge to both academia and industry. The combination of Cloud Computing and DDS (Data Distribution Service) middleware brings us a promising way to address this issue. Cloud computing can not only provide sufficient computing capacity but also reduce the processing cost in a great lot. Besides, DDS middleware supports real-time publish/subscribe communication model and is often used in military scenario. In this paper, in order to process such a large scale and high concurrency events efficiently and real-time, we propose a cloud-based architecture for STB event processing. Besides, we discuss the implementation details of reliability and load balancing. To demonstrate the effectiveness of our approach some experiments on the prototype are evaluated.","PeriodicalId":92123,"journal":{"name":"Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems","volume":"16 9","pages":"314-323"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91492504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A tutorial on reliability in publish/subscribe services 关于发布/订阅服务可靠性的教程

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2012-07-16 DOI: 10.1145/2335484.2335537

C. Esposito

{"title":"A tutorial on reliability in publish/subscribe services","authors":"C. Esposito","doi":"10.1145/2335484.2335537","DOIUrl":"https://doi.org/10.1145/2335484.2335537","url":null,"abstract":"Publish/subscribe services are required in several long-term on-going industrial projects that envision a radical rethinking of software systems by integrating existing legacy systems in large-scale federating architectures. In fact, such systems are made of a constellation of systems that cooperate with each other by means of the event notification provided by publish/subscribe services over wide-area networks. Such services have met an enthusiastic success in implementing these large-scale federations thanks to their intrinsic decoupling properties that improve the offered scalability guarantees. However, a very important requirement of such federations is the capability of the adopted publish/subscribe service to tolerate faults occurring in the network and/or computing nodes composing the federation, without negatively affecting the provided event notification. Therefore, it is crucial that publish/subscribe services are equipped with proper methods to support reliable event notification.\u0000 In this paper, we present this topic of reliable event notification by introducing its definition, a model of the faults that have to be tolerated, the available methods to recover from such faults and how current publish/subscribe products deal with reliability.","PeriodicalId":92123,"journal":{"name":"Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems","volume":"151 1","pages":"399-406"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77868749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

From a calculus to an execution environment for stream processing 从演算到流处理的执行环境

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2012-07-16 DOI: 10.1145/2335484.2335487

R. Soulé, Martin Hirzel, B. Gedik, R. Grimm

{"title":"From a calculus to an execution environment for stream processing","authors":"R. Soulé, Martin Hirzel, B. Gedik, R. Grimm","doi":"10.1145/2335484.2335487","DOIUrl":"https://doi.org/10.1145/2335484.2335487","url":null,"abstract":"At one level, this paper is about River, a virtual execution environment for stream processing. Stream processing is a paradigm well-suited for many modern data processing systems that ingest high-volume data streams from the real world, such as audio/video streaming, high-frequency trading, and security monitoring. One attractive property of stream processing is that it lends itself to parallelization on multicores, and even to distribution on clusters when extreme scale is required. Stream processing has been co-evolved by several communities, leading to diverse languages with similar core concepts. Providing a common execution environment reduces language development effort and increases portability. We designed River as a practical realization of Brooklet, a calculus for stream processing. So at another level, this paper is about a journey from theory (the calculus) to practice (the execution environment). The challenge is that, by definition, a calculus abstracts away all but the most central concepts. Hence, there are several research questions in concretizing the missing parts, not to mention a significant engineering effort in implementing them. But the effort is well worth it, because using a calculus as a foundation yields clear semantics and proven correctness results.","PeriodicalId":92123,"journal":{"name":"Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems","volume":"198 1","pages":"20-31"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78312323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Sparkwave: continuous schema-enhanced pattern matching over RDF data streams Sparkwave:基于RDF数据流的持续模式增强模式匹配

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2012-07-16 DOI: 10.1145/2335484.2335491

S. Komazec, D. Cerri, D. Fensel

引用次数: 91

Processing 6 billion CDRs/day: from research to production (experience report) 60亿cdr /日处理:从研究到生产(经验报告)

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2012-07-16 DOI: 10.1145/2335484.2335513

E. Bouillet, Ravina Kothari, Vibhore Kumar, L. Mignet, Senthil Nathan, A. Ranganathan, D. Turaga, O. Udrea, O. Verscheure

{"title":"Processing 6 billion CDRs/day: from research to production (experience report)","authors":"E. Bouillet, Ravina Kothari, Vibhore Kumar, L. Mignet, Senthil Nathan, A. Ranganathan, D. Turaga, O. Udrea, O. Verscheure","doi":"10.1145/2335484.2335513","DOIUrl":"https://doi.org/10.1145/2335484.2335513","url":null,"abstract":"A call detail record (CDR), is a data record produced by a telephone exchange or other telecommunications equipment documenting the details of a phone call that passed through the exchange or equipment. Telecommunications companies (or \"telcos\") use CDRs for purposes of billing, extracting business intelligence, fraud detection, etc. However, they face a Big Data challenge -- many telcos get billions of CDRs per day, and are unable to keep up with these data rates. In this paper, we describe a stream processing solution for processing CDRs that allows scaling the processing to handle 6 billion CDRs per day for a certain telco. We describe the stream processing application (running on the IBM InfoSphere Streams platform) that performs CDR mediation and analysis in real-time. We also describe various business and operational constraints and the legacy software ecosystem - seldom discussed in academic gatherings - that make the problem more challenging than originally meets the eye. The outcome of our work is a highly configurable and scalable CDR processing stream with several functional and performance capabilities that are a first for the telecommunication industry.","PeriodicalId":92123,"journal":{"name":"Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems","volume":"253 1","pages":"264-267"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73342989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 25

A process-oriented event-based programming language 一种面向过程的基于事件的编程语言

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2012-07-16 DOI: 10.1145/2335484.2335530

Thomas T. Hildebrandt, Francesco Zanitti

引用次数: 2

Run-time composite event recognition 运行时复合事件识别

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2012-07-16 DOI: 10.1145/2335484.2335492

A. Artikis, M. Sergot, G. Paliouras

引用次数: 40