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» Distributed constrained optimization over noisy networks
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CLOUD
2010
ACM
15 years 9 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
ICPP
2002
IEEE
15 years 9 months ago
Optimal Video Replication and Placement on a Cluster of Video-on-Demand Servers
A cost-effective approach to building up scalable Videoon-Demand (VoD) servers is to couple a number of VoD servers together in a cluster. In this article, we study a crucial vide...
Xiaobo Zhou, Cheng-Zhong Xu
SIGMOD
2007
ACM
146views Database» more  SIGMOD 2007»
16 years 4 months ago
Distributed query evaluation with performance guarantees
Partial evaluation has recently proven an effective technique for evaluating Boolean XPath queries over a fragmented tree that is distributed over a number of sites. What left ope...
Gao Cong, Wenfei Fan, Anastasios Kementsietsidis
WSC
2004
15 years 5 months ago
A Near Optimal Approach to Quality of Service Data Replication Scheduling
This paper describes an approach to real-time decisionmaking for quality of service based scheduling of distributed asynchronous data replication. The proposed approach addresses ...
Kevin Adams, Denis Gracanin, Dusan Teodorovic
INFOSCALE
2007
ACM
15 years 5 months ago
A distributed incremental nearest neighbor algorithm
Searching for non-text data (e.g., images) is mostly done by means of metadata annotations or by extracting the text close to the data. However, supporting real content-based audi...
Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti, ...