DocumentCode :
1805210
Title :
Scalable and Adaptable Distributed Stream Processing
Author :
Zhou, Yongluan
Author_Institution :
National University of Singapore
fYear :
2006
fDate :
2006
Abstract :
In this paper we introduce a new architectural design of a large scale distributed stream processing system. The system adopts a two layer architecture. Based on the locality and the natural administrative dependency of the processors, the processors are naturally partitioned into multiple independent entities. Processors within each entity compose the first layer while all the entities comprise the second one. Tightly coupled cooperation is employed within each entity due to the availability of central administration and their close locality. On the contrary, the entities cooperate with each other in a loosely coupled way. Challenges are identified in each layer of the architecture and techniques are proposed to solve them.
Keywords :
Data models; Engines; Financial management; Large-scale systems; Monitoring; Portals; Process design; Query processing; Scalability; User interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on
Conference_Location :
Atlanta, GA, USA
Print_ISBN :
0-7695-2571-7
Type :
conf
DOI :
10.1109/ICDEW.2006.129
Filename :
1623944
Link To Document :
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