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» Challenges in Evaluating Distributed Algorithms
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IPPS
2005
IEEE
15 years 3 months ago
Practical Divisible Load Scheduling on Grid Platforms with APST-DV
Divisible load applications consist of a load, that is input data and associated computation, that can be divided arbitrarily into independent pieces. Such applications arise in m...
Krijn van der Raadt, Yang Yang, Henri Casanova
HPDC
2012
IEEE
13 years 7 days ago
Work stealing and persistence-based load balancers for iterative overdecomposed applications
Applications often involve iterative execution of identical or slowly evolving calculations. Such applications require incremental rebalancing to improve load balance across itera...
Jonathan Lifflander, Sriram Krishnamoorthy, Laxmik...
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
14 years 7 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
ICDCIT
2010
Springer
15 years 6 months ago
Maintaining Coherent Views over Dynamic Distributed Data
Data delivered today over the web reflects rapid and unpredictable changes in the world around us. We are increasingly relying on content that provides dynamic, interactive, person...
Krithi Ramamritham
ICDM
2009
IEEE
113views Data Mining» more  ICDM 2009»
15 years 4 months ago
Connecting Sparsely Distributed Similar Bloggers
—The nature of the Blogosphere determines that the majority of bloggers are only connected with a small number of fellow bloggers, and similar bloggers can be largely disconnecte...
Nitin Agarwal, Huan Liu, Shankara B. Subramanya, J...