Title

Live Data Views: Programming Pervasive Applications that Use “Timely” and “Dynamic” Data

Publication Type

Conference Proceeding Article

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.

Discipline

Software Engineering

Research Areas

Software Systems

Publication

IEEE Mobile Data Management Conference (MDM)

Identifier

10.1145/1071246.1071294

Publisher

ACM

Additional URL

http://dx.doi.org/10.1145/1071246.1071294

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