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ICS
2005
Tsinghua U.
14 years 26 days ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
IISWC
2006
IEEE
14 years 1 months ago
Constructing a Non-Linear Model with Neural Networks for Workload Characterization
Workload characterization involves the understanding of the relationship between workload configurations and performance characteristics. To better assess the complexity of worklo...
Richard M. Yoo, Han Lee, Kingsum Chow, Hsien-Hsin ...
ICDT
1999
ACM
99views Database» more  ICDT 1999»
13 years 11 months ago
Increasing the Expressiveness of Analytical Performance Models for Replicated Databases
The vast number of design options in replicated databases requires efficient analytical performance evaluations so that the considerable overhead of simulations or measurements can...
Matthias Nicola, Matthias Jarke
ICIP
2003
IEEE
14 years 9 months ago
Non-linear 3D rendering workload prediction based on a combined fuzzy-neural network architecture for grid computing application
Although, computational Grid has been initially developed to solve large-scale scientific research problems, it is extended for commercial and industrial applications. An interest...
John K. Doulamis, Anastasios D. Doulamis
CCGRID
2002
IEEE
14 years 9 days ago
User-Centric Performance Analysis of Market-Based Cluster Batch Schedulers
This paper presents a performance analysis of marketbased batch schedulers for clusters of workstations. In contrast to previous work, we use user-centric performance metrics as t...
Brent N. Chun, David E. Culler