Processing flows of information

作者: Alessandro Margara , Gianpaolo Cugola

DOI: 10.1145/2002259.2002307

关键词:

摘要: An increasing number of distributed applications requires processing continuously flowing data from geographically sources at unpredictable rate to obtain timely responses complex queries. Examples such come the most disparate fields: wireless sensor networks financial tickers, traffic management click stream inspection.These requirements led development a systems specifically designed process information as flow according set pre-deployed rules. We collectively call them Information Flow Processing (IFP) Systems. Despite having common goal, IFP differ in wide range aspects, including architectures, models, rule languages, and mechanisms.In this tutorial we draw general framework analyze compare results achieved so far area systems. This allows us offer systematic overview topic, favoring communication between different communities, highlighting open issue that still need be addressed research.

参考文章(160)
Principles and Applications of Distributed Event-Based Systems Information Science Reference - Imprint of: IGI Publishing. ,(2010) , 10.4018/978-1-60566-697-6
Michele Trainotti, Fabio Barbon, Paolo Traverso, Marco Pistore, Run-time monitoring of the execution of plans for web service composition international conference on automated planning and scheduling. pp. 346- 349 ,(2006)
Andrew Heybey, Mark Sullivan, Tribeca: a system for managing large databases of network traffic usenix annual technical conference. pp. 2- 2 ,(1998)
Stefano Ceri, Jennifer Widom, Introduction to Active Database Systems Active Database Systems: Triggers and Rules For Advanced Database Processing. pp. 1- 41 ,(1996)
Hervé Debar, Andreas Wespi, Aggregation and Correlation of Intrusion-Detection Alerts recent advances in intrusion detection. pp. 85- 103 ,(2001) , 10.1007/3-540-45474-8_6
Peter R. Pietzuch, Brian Shand, Jean Bacon, A framework for event composition in distributed systems acm ifip usenix international conference on middleware. pp. 62- 82 ,(2003) , 10.5555/1515915.1515921
Nesime Tatbul, Uğur Çetintemel, Stan Zdonik, Mitch Cherniack, Michael Stonebraker, Load shedding in a data stream manager very large data bases. pp. 309- 320 ,(2003) , 10.1016/B978-012722442-8/50035-5
Utkarsh Srivastava, Jennifer Widom, Memory-limited execution of windowed stream joins very large data bases. pp. 324- 335 ,(2004) , 10.1016/B978-012088469-8.50031-0
Thomas Repantis, Vana Kalogeraki, Xiaohui Gu, Synergy: sharing-aware component composition for distributed stream processing systems acm ifip usenix international conference on middleware. pp. 322- 341 ,(2006) , 10.5555/1515984.1516009
Kirsten W. Hildrum, Buǧra Gedik, Eric Bouillet, Kun-Lung Wu, Gang Luo, David A. George, Philip S. Yu, Charu C. Aggarwal, Xiaohui Gu, Wei Fan, Haixun Wang, Challenges and experience in prototyping a multi-modal stream analytic and monitoring application on System S very large data bases. pp. 1185- 1196 ,(2007)