Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

5-2005

Abstract

In the absence of generic programming abstractions for dynamic data in most enterprise programming environments, individual applications treat data streams as a special case requiring custom programming. With the growing number of live data sources such as RSS feeds, messaging and presence servers, multimedia streams, and sensor data. a general-purpose client-server programming model is needed to easily incorporate live data into applications. In this paper, we present Live Data Views, a programming abstraction that represents live data as a time-windowed view over a set of data streams. Live Data Views allow applications to create and retrieve stateful abstractions of dynamic data sources in a uniform manner, via the application of intra- and inter- stream operators. We provide details of our model and evaluate a proof-of-concept Live Data Views implementation to monitor traffic conditions on a highway. We also provide the preliminary design of a J2EE-based implementation, and outline some of the research challenges raised by this abstraction in a distributed computing environment.

Keywords

J2EE, dynamic data, stream operations, EJB, middleware, algorithms

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

MDM '05: Proceedings of the 6th International Conference on Mobile Data Management: May 9-13, Ayia Napa, Cyprus

First Page

294

Last Page

298

ISBN

9781595930415

Identifier

10.1145/1071246.1071294

Publisher

ACM

City or Country

New York

Copyright Owner and License

Publisher

Additional URL

https://doi.org/10.1145/1071246.1071294

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