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TLDKS 2013 : TLDKS Special Issue on Advanced Data Stream Management and Processing of Continuous Queries | |||||||||||||||
| Link: http://confdriver.ifs.tuwien.ac.at/tldks/home/294 | |||||||||||||||
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Call For Papers | |||||||||||||||
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Call for Papers for a Special Issue on Advanced Data Stream Management and Processing of Continuous Queries in TLDKS International Journal Transactions on Large-Scale Data and Knowledge Centered Systems (LNCS Journal Subline) http://tldks.faw.at Guest editors: • Bernd Amann, LIP6 - UPMC, Paris, France. • Philippe Lamarre, LIRIS - INSA Lyon, France. Scope: An increasing number of applications continuously (24/7/365) produce and consume high volumes of streaming data. Examples of such applications include sensor and RFID networks for smart buildings and cities, environmental monitoring and health-care, network message tracing, online user feedback analysis, web syndication, social media, RSS feed aggregation, video surveillance and security, finance and stock market analysis, scientific workflows, etc. Following the traditional database principles, Data Stream Management Systems alleviate the development of this kind of applications by proposing high-level and efficient data stream processing interfaces through declarative data models and query languages. In this kind of systems, data processing complexity comes from the need to evaluate many complex (long-running) queries over large numbers of high-speed data streams. This context introduces many new challenges from different theoretical and practical points of view. The objective of the TLDKS special issue on Advanced Data Stream Management and Continuous Query Processing is to provide an opportunity to disseminate original research contributions and a high quality communication platform for researchers and practitioners. Topics of interest include, but are not limited to: • Advanced Data Stream Models and Query Languages • Continuous Query Processing and Optimization • Data Stream Management and Warehousing • Data Stream Mining • Approximate Data Stream Processing and Sampling • Probabilistic Data Streams • Theory of Data Stream Computing • Continuous Top-k Query Processing • System Performance and Evaluation Paper Submission Details: Authors are invited to electronically submit original research contributions or experience reports in English. • The manuscript must be submitted in pdf, LNCS format. For further instructions see http://www.springer.de/comp/lncs/authors.html • The length of submitted manuscripts should not exceed 25 pages. • For paper registration and electronic submission see http://confdriver.ifs.tuwien.ac.at/tldks/home/294 Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Important Dates: Submission deadline : February 22, 2013 Notification of paper acceptance: May 27, 2013 Revised version deadline : June 24, 2013 Final decision : July 15, 2013 Final paper : September 9, 2013 Publication : December 2013 Editorial Board: • Reza Akbarinia, INRIA - LIRMM, France. • Bernd Amann, UPMC, France. • Stephane Bressan, Nat. Univ., Singapore. • Peter M. Fischer, Univ. Freiburg, Germany. • Pedro Furtado, Univ. Coimbra, Protugal. • Joao Gama, Univ. Porto, Portugal. • Lukasz Golab, Univ. Waterloo, Canada. • Georges Hebrail, EDF R&D, France. • Cyril Labbe, Univ. Grenoble I, France. • Philippe Lamarre, INSA Lyon, France. • Sebastian Michel, Saarland Univ., Germany. • Mirella Moro, Fed. Univ. Minas Gerais, Brazil. • Jean-Marc Petit, INSA Lyon, France. • Evaggelia Pitoura, Univ. of Ioannina, Greece. • Bernhard Seeger, Philipps-Univ. Marburg, Germany. • David Taniar, Monash Univ., Australia. |
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