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CLUSTER
2009
IEEE
15 years 10 months ago
Granules: A lightweight, streaming runtime for cloud computing with support, for Map-Reduce
— Cloud computing has gained significant traction in recent years. The Map-Reduce framework is currently the most dominant programming model in cloud computing settings. In this ...
Shrideep Pallickara, Jaliya Ekanayake, Geoffrey Fo...
105
Voted
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
15 years 9 months ago
Online Reliability Estimates for Individual Predictions in Data Streams
Several predictive systems are nowadays vital for operations and decision support. The quality of these systems is most of the time defined by their average accuracy which has lo...
Pedro Pereira Rodrigues, João Gama, Zoran B...
135
Voted
ICPP
2008
IEEE
15 years 9 months ago
Fast Source Switching for Gossip-Based Peer-to-Peer Streaming
In this paper we consider gossip-based Peer-to-Peer streaming applications where multiple sources exist and they work serially. More specifically, we tackle the problem of fast s...
Zhenhua Li, Jiannong Cao, Guihai Chen, Yan Liu
DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
15 years 9 months ago
ClusterSheddy : Load Shedding Using Moving Clusters over Spatio-temporal Data Streams
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...
Rimma V. Nehme, Elke A. Rundensteiner
COCOON
2007
Springer
15 years 9 months ago
Streaming Algorithms Measured in Terms of the Computed Quantity
The last decade witnessed the extensive studies of algorithms for data streams. In this model, the input is given as a sequence of items passing only once or a few times, and we ar...
Shengyu Zhang