Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems最新文献_第2页

Automated publish-subscribe middleware configuration with M2etis 使用M2etis自动发布-订阅中间件配置

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2014-05-26 DOI: 10.1145/2611286.2611321

A. Wahl, Thomas Fischer, R. Lenz

引用次数: 4

In-memory, high speed stream processing 在内存中，高速流处理

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2014-05-26 DOI: 10.1145/2611286.2611332

Rohit Gupta, Rinku Shah, Apurva Mhetre

引用次数: 1

Learning from the past: automated rule generation for complex event processing 向过去学习:为复杂事件处理自动生成规则

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2014-05-26 DOI: 10.1145/2611286.2611289

Alessandro Margara, G. Cugola, Giordano Tamburrelli

{"title":"Learning from the past: automated rule generation for complex event processing","authors":"Alessandro Margara, G. Cugola, Giordano Tamburrelli","doi":"10.1145/2611286.2611289","DOIUrl":"https://doi.org/10.1145/2611286.2611289","url":null,"abstract":"Complex Event Processing (CEP) systems aim at processing large flows of events to discover situations of interest. In CEP, the processing takes place according to user-defined rules, which specify the (causal) relations between the observed events and the phenomena to be detected. We claim that the complexity of writing such rules is a limiting factor for the diffusion of CEP. In this paper, we tackle this problem by introducing iCEP, a novel framework that learns, from historical traces, the hidden causality between the received events and the situations to detect, and uses them to automatically generate CEP rules. The paper introduces three main contributions. It provides a precise definition for the problem of automated CEP rules generation. It dicusses a general approach to this research challenge that builds on three fundamental pillars: decomposition into subproblems, modularity of solutions, and ad-hoc learning algorithms. It provides a concrete implementation of this approach, the iCEP framework, and evaluates its precision in a broad range of situations, using both synthetic benchmarks and real traces from a traffic monitoring scenario.","PeriodicalId":92123,"journal":{"name":"Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems","volume":"22 1","pages":"47-58"},"PeriodicalIF":0.0,"publicationDate":"2014-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86505063","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: 91

Understanding event attendance through analysis of human crowd behavior in social networks 通过分析社会网络中的人群行为来理解事件出席

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2014-05-26 DOI: 10.1145/2611286.2611324

Stavroula Karanikolaou, Ioannis Boutsis, V. Kalogeraki

引用次数: 10

RECEP: selection-based reuse for distributed complex event processing 用于分布式复杂事件处理的基于选择的重用

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2014-05-26 DOI: 10.1145/2611286.2611297

Beate Ottenwälder, B. Koldehofe, K. Rothermel, Kirak Hong, U. Ramachandran

引用次数: 23

Distributed event aggregation for content-based publish/subscribe systems 用于基于内容的发布/订阅系统的分布式事件聚合

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2014-05-26 DOI: 10.1145/2611286.2611302

N. Pandey, Kaiwen Zhang, Stéphane Weiss, H. Jacobsen, R. Vitenberg

{"title":"Distributed event aggregation for content-based publish/subscribe systems","authors":"N. Pandey, Kaiwen Zhang, Stéphane Weiss, H. Jacobsen, R. Vitenberg","doi":"10.1145/2611286.2611302","DOIUrl":"https://doi.org/10.1145/2611286.2611302","url":null,"abstract":"Modern data-intensive applications handling massive event streams such as real-time traffic monitoring require support for both rich data filtering and aggregation. While the pub/sub communication paradigm provides an effective solution for the sought semantic diversity of event filtering, the event processing capabilities of existing pub/sub systems are restricted to singular event matching without support for stream aggregation, which so far can be accommodated only at the subscriber edge brokers.\u0000 In this paper, we propose the first systematic solution for supporting distributed aggregation over a range of time-based aggregation window semantics in a content-based pub/sub system. In order to eschew the need to disseminate a large number of publications to subscribers, we strive to distribute the aggregation computation within the pub/sub overlay network. By enriching the pub/sub language with aggregation semantics, we allow pub/sub brokers to aggregate incoming publications and forward only results to the next broker downstream. We show that our baseline solutions, one which aggregates early (at the publisher edge) and another which aggregates late (at the subscriber edge), are not optimal strategies for minimizing bandwidth consumption. We then propose an adaptive rate-based heuristic solution which determines which brokers should aggregate publications. Using real datasets extracted from our traffic monitoring use case, we show that this adaptive solution leads to improved performance compared to that of our baseline solutions.","PeriodicalId":92123,"journal":{"name":"Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems","volume":"33 1","pages":"95-106"},"PeriodicalIF":0.0,"publicationDate":"2014-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85478988","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: 17

Architecture of a light-weight non-threaded event oriented workflow engine 轻量级非线程事件导向工作流引擎的体系结构

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2014-05-26 DOI: 10.1145/2611286.2611316

Ahana Pradhan, R. Joshi

引用次数: 4

Mobile CEP in real-time big data processing: challenges and opportunities 实时大数据处理中的移动CEP:挑战与机遇

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2014-05-26 DOI: 10.1145/2611286.2611311

N. Stojanović, Ljiljana Stojanović, Yongchun Xu, Boban Stajic Nissatech

引用次数: 9

Mobile CEP architecture: from intelligent sensing to collaborative monitoring 移动CEP架构:从智能感知到协同监控

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2014-05-26 DOI: 10.1145/2611286.2611322

N. Stojanović, Yongchun Xu, Boban Stajic Nissatech, Ljiljana Stojanović

引用次数: 1

Scalable and elastic realtime click stream analysis using StreamMine3G 使用StreamMine3G进行可扩展和弹性的实时点击流分析

Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems Pub Date : 2014-05-26 DOI: 10.1145/2611286.2611304

André Martin, Andrey Brito, C. Fetzer

{"title":"Scalable and elastic realtime click stream analysis using StreamMine3G","authors":"André Martin, Andrey Brito, C. Fetzer","doi":"10.1145/2611286.2611304","DOIUrl":"https://doi.org/10.1145/2611286.2611304","url":null,"abstract":"Click stream analysis is a common approach for analyzing customer behavior during the navigation through e-commerce or social network sites. Performing such an analysis in real-time opens up new business opportunities as well as increases revenues as recommendations can be generated on the fly making a previously unknown product to the potential customer attractive.\u0000 As click streams are highly fluctuating as well as must be processed in real time, there is a high demand for Event-Stream-Processing (ESP) engines that are (1) horizontally as well as vertically scalable, (2) elastic in order to cope with the fluctuation in the data stream, and (3) provide efficient state management mechanisms in order to drive such kind of analysis. However, the majority of the nowadays ESP engines such as Apache S4 or Storm provide neither explicit state management nor techniques for elastic scaling.\u0000 In this paper, we present StreamMine3G, a scalable and elastic ESP engine which provides state management out of the box, scales with the number of nodes as well as cores and improves performance due to a novel delegation mechanisms lowering contention on state as well as network links caused by fluctuations and temporary imbalances in the data streams.","PeriodicalId":92123,"journal":{"name":"Proceedings of the ... International Workshop on Distributed Event-Based Systems. International Workshop on Distributed Event-Based Systems","volume":"31 1","pages":"198-205"},"PeriodicalIF":0.0,"publicationDate":"2014-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75183400","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: 24