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CCGRID
2008
IEEE
14 years 2 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
IEE
2007
100views more  IEE 2007»
13 years 7 months ago
Designing and constructing modifiable middleware using component frameworks
Because of the increasingly diverse and dynamic environments in which they must operate, modern middleware platforms need to explicitly support modifiability. Modifiability should...
Nikos Parlavantzas, Geoffrey Coulson
ICCV
2007
IEEE
14 years 9 months ago
Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method
Theoretical understanding and extension of mean shift procedure has received much attention recently [8, 18, 3]. In this paper, we present a theoretical exploration and an algorit...
Xiaotong Yuan, Stan Z. Li
CLADE
2004
IEEE
13 years 11 months ago
An on Demand Path Marking and Capacity Reservation Method using Split Agent
Different schemes for large scale networks hosting distributed applications have been recently adopted for network path marking based on adaptive behavior of swarm-based agents. T...
Constandinos X. Mavromoustakis, Helen D. Karatza
CCGRID
2005
IEEE
14 years 1 months ago
Continuous resources allocation in Internet data centers
Internet data centers (IDCs) perform multi-customer hosting on a virtualized collection of resources while Grid computing generalizes distributed computing by focusing on large sc...
Youssef Hamadi