Advanced Search
CS Search Google Search
Subscribers, please login

Published Articles >> Table of Contents >> Abstract

15th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP'07)   pp. 412-418
Adaptable Parsing of Real-Time Data Streams

Full Article Text: Download PDF of full textBuy this articleGet full text from IEEE Xplore

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDP.2007.16
Send link to a friend

Abstract
Today's business processes are rarely accomplished inside the companies domains. More often they involve entities geographically distributed which interact in a loosely coupled cooperation. While cooperating, these entities generate transactional data streams, such as sequences of stock-market buy/sell orders, credit-card purchase records, Web server entries, and electronic fund transfer orders. Such streams are often collections of events stored and processed locally, and they thus have typically ad-hoc, heterogeneous formats. On the other hand, elements in such data streams usually share a common semantics and indeed they can be profitably mined in order to obtain combined global events. In this paper, we present an approach to the parsing of heterogeneous data streams based on the definition of format-dependent grammars and automatic production of adhoc parsers. The stream-dependent parsers can be obtained dynamically in a totally automatic way, provided that the appropriate grammar, written in a common format, is fed into the system. We also present a fully working implementation, that has been successfully integrated into a telecommunication environment for real-time processing of billing information flows.
Additional Information

Citation:  1 Campanile, 1 Cilardo, 1 Coppolino, 1 Romano, "Adaptable Parsing of Real-Time Data Streams," pdp, pp. 412-418,  15th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP'07),  2007

Similar Articles

Abstract Contents
Abstract
Citation




Free access to

  • Abstracts
  • Selected PDFs

Electronic subscribers login to:

  • Access HTML/PDFs of full text articles

Subscription information

Get a Web account

PDFs require Adobe Acrobat Reader.

Peer Review Notice

Give us Feedback