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ICPP
2008
IEEE
14 years 1 months ago
Machine Learning Models to Predict Performance of Computer System Design Alternatives
Computer manufacturers spend a huge amount of time, resources, and money in designing new systems and newer configurations, and their ability to reduce costs, charge competitive p...
Berkin Özisikyilmaz, Gokhan Memik, Alok N. Ch...
IPPS
2010
IEEE
13 years 5 months ago
Performance modeling of heterogeneous systems
Predicting how well applications may run on modern systems is becoming increasingly challenging. It is no longer sufficient to look at number of floating point operations and commu...
Jan Christian Meyer, Anne C. Elster
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
13 years 5 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
13 years 11 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni
JSAC
2006
181views more  JSAC 2006»
13 years 7 months ago
Information theoretic framework of trust modeling and evaluation for ad hoc networks
Abstract-- The performance of ad hoc networks depends on cooperation and trust among distributed nodes. To enhance security in ad hoc networks, it is important to evaluate trustwor...
Yan Lindsay Sun, Wei Yu, Zhu Han, K. J. Ray Liu