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» Using Global Information for Load Balancing in DHTs
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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
14 years 2 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
SECON
2007
IEEE
14 years 2 months ago
Robust Routing and Scheduling in Wireless Mesh Networks
—Joint routing-and-scheduling has been considered in wireless mesh networks for its significant performance improvement. While existing work assumes it, accurate traffic inform...
Wei Wang, Xin Liu, Dilip Krishnaswamy
ICDT
2007
ACM
121views Database» more  ICDT 2007»
14 years 2 months ago
Compact Samples for Data Dissemination
We consider data dissemination in a peer-to-peer network, where each user wishes to obtain some subset of the available information objects. In most of the modern algorithms for su...
Tova Milo, Assaf Sagi, Elad Verbin
SSDBM
2005
IEEE
132views Database» more  SSDBM 2005»
14 years 1 months ago
Co-Scheduling of Computation and Data on Computer Clusters
Scientific investigations have to deal with rapidly growing amounts of data from simulations and experiments. During data analysis, scientists typically want to extract subsets o...
Alexandru Romosan, Doron Rotem, Arie Shoshani, Der...
ASPLOS
2010
ACM
14 years 2 months ago
Flexible architectural support for fine-grain scheduling
To make efficient use of CMPs with tens to hundreds of cores, it is often necessary to exploit fine-grain parallelism. However, managing tasks of a few thousand instructions is ...
Daniel Sanchez, Richard M. Yoo, Christos Kozyrakis