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» Distributed constrained optimization over noisy networks
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CLOUD
2010
ACM
14 years 2 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
14 years 1 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»
14 years 9 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
13 years 10 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
13 years 10 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, ...