In this paper, we present the design of a scalable, distributed stream processing system for RFID tracking and monitoring. Since RFID data lacks containment and location informati...
Zhao Cao, Charles Sutton, Yanlei Diao, Prashant J....
In this paper, we describe the challenges of prototyping a reference application on System S, a distributed stream processing middleware under development at IBM Research. With a ...
Kun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hi...
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
In today’s world, stream processing systems have become important, as applications like media broadcasting, sensor network monitoring and on-line data analysis increasingly rely...