Challenges in Flexible Aggregation of Pervasive Data

The vision of billions of users connected to millions of services using trillions of devices is fast becoming a reality. The result will be a vast network of mobile communication devices and data sources, including sensors, newsfeeds, web services, and databases. Potential uses of this data span a wide range of application domains, including medical monitoring, traffic routing, proximity detection, electricity management, and service-fleet dispatching. Applications require flexible mechanisms for constructing condensed and refined views of the raw data, possibly in ways unanticipated by the data providers. Aggregation comprises collection of high volumes of raw data from data sources, composition of the raw data into less voluminous refined data, and timely delivery of the refined data to applications. There are difficult challenges inherent in creating an aggregation system that is sufficiently flexible, scalable, and reliable to address the needs of applications.

By: Norman Cohen, Apratin Purakayastha, John Turek, Luke Wong, Danny Yeh

Published in: RC21942 in 2001

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RC21942.pdf

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