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» An ASM-Characterization of a Class of Distributed Algorithms
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DAGSTUHL
2007
14 years 11 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
PDP
2002
IEEE
15 years 2 months ago
Eventually Consistent Failure Detectors
The concept of unreliable failure detector was introduced by Chandra and Toueg as a mechanism that provides information about process failures. This mechanism has been used to sol...
Mikel Larrea, Antonio Fernández, Sergio Ar&...
ICDE
2005
IEEE
144views Database» more  ICDE 2005»
15 years 11 months ago
Dynamic Load Distribution in the Borealis Stream Processor
Distributed and parallel computing environments are becoming cheap and commonplace. The availability of large numbers of CPU's makes it possible to process more data at highe...
Ying Xing, Stanley B. Zdonik, Jeong-Hyon Hwang
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 2 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
178
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ICDE
1999
IEEE
150views Database» more  ICDE 1999»
15 years 11 months ago
Managing Distributed Memory to Meet Multiclass Workload Response Time Goals
In this paper we present an online method for managing a goaloriented buffer partitioning in the distributed memory of a network of workstations. Our algorithm implements a feedba...
Arnd Christian König, Markus Sinnwell