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Return to Stream Management Many stream-based applications are naturally distributed. Applications are often embedded in an environment with numerous connected computing devices with heterogeneous capabilities. As data travels from its point of origin (e.g., sensors) downstream to applications, it passes through many computing devices, each of which is a potential target of computation. Furthermore, to cope with time-varying load spikes and changing demand, many servers would be brought to bear on the problem. In both cases, distributed computation is the norm. @inproceedings {DBLP:conf/cidr/CherniackBBCCXZ03, author = {Mitch Cherniack and Hari Balakrishnan and Magdalena Balazinska and Donald Carney and Ugur Çetintemel and Ying Xing and Stanley B. Zdonik}, booktitle = {CIDR}, title = {Scalable Distributed Stream Processing.}, year = {2003}, url = {db/conf/cidr/cidr2003.html#CherniackBBCCXZ03}, ee = {http://www-db.cs.wisc.edu/cidr/program/p23.pdf}, bibsource = {DBLP, http://dblp.uni-trier.de} } ![]() ©2004 Association for Computing Machinery |