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» Discovering Piecewise Linear Models of Grid Workload
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CCGRID
2010
IEEE
13 years 5 months ago
Discovering Piecewise Linear Models of Grid Workload
—Despite extensive research focused on enabling QoS for grid users through economic and intelligent resource provisioning, no consensus has emerged on the most promising strategi...
Tamás Éltetö, Cécile Ger...
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
13 years 11 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
SIAMNUM
2010
105views more  SIAMNUM 2010»
12 years 11 months ago
Quantization Based Filtering Method Using First Order Approximation
The quantization based filtering method (see [13], [14]) is a grid based approximation method to solve nonlinear filtering problems with discrete time observations. It relies on o...
Afef Sellami
SI3D
2006
ACM
13 years 10 months ago
Interactive 3D distance field computation using linear factorization
We present an interactive algorithm to compute discretized 3D Euclidean distance fields. Given a set of piecewise linear geometric primitives, our algorithm computes the distance...
Avneesh Sud, Naga K. Govindaraju, Russell Gayle, D...
CORR
2010
Springer
179views Education» more  CORR 2010»
13 years 3 months ago
An Economic-based Resource Management and Scheduling for Grid Computing Applications
Resource management and scheduling plays a crucial role in achieving high utilization of resources in grid computing environments. Due to heterogeneity of resources, scheduling an...
G. Murugesan, C. Chellappan