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

• Main Authors: BLACK, Jay, CASTRO, Paul, MISRA, Archan, WHITE, Jerome
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2005
• Subjects: J2EE; dynamic data; stream operations; EJB; middleware; algorithms; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/691; https://ink.library.smu.edu.sg/context/sis_research/article/1690/viewcontent/p294_black.pdf
• Institution: Singapore Management University

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.