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» Challenges in Evaluating Distributed Algorithms
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CEC
2010
IEEE
15 years 3 months ago
Two-stage based ensemble optimization for large-scale global optimization
Large-scale global optimization (LSGO) is a very important and challenging task in optimization domain, which is embedded in many scientific and engineering applications. In this p...
Yu Wang, Bin Li
116
Voted
JMLR
2010
130views more  JMLR 2010»
14 years 8 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
ASPLOS
2004
ACM
15 years 7 months ago
FAB: building distributed enterprise disk arrays from commodity components
This paper describes the design, implementation, and evaluation of a Federated Array of Bricks (FAB), a distributed disk array that provides the reliability of traditional enterpr...
Yasushi Saito, Svend Frølund, Alistair C. V...
ENTCS
2008
103views more  ENTCS 2008»
15 years 1 months ago
Distributed Markovian Bisimulation Reduction aimed at CSL Model Checking
The verification of quantitative aspects like performance and dependability by means of model checking has become an important and vivid area of research over the past decade. An ...
Stefan Blom, Boudewijn R. Haverkort, Matthias Kunt...
ACSC
2006
IEEE
15 years 8 months ago
Pruning subscriptions in distributed publish/subscribe systems
Publish/subscribe systems utilize filter algorithms to determine all subscriptions matching incoming event messages. To distribute such services, subscriptions are forwarded to s...
Sven Bittner, Annika Hinze