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» Learning Application Models for Utility Resource Planning
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IM
2007
15 years 1 months ago
Capacity and Performance Overhead in Dynamic Resource Allocation to Virtual Containers
—Today’s enterprise data centers are shifting towards a utility computing model where many business critical applications share a common pool of infrastructure resources that o...
Zhikui Wang, Xiaoyun Zhu, Pradeep Padala, Sharad S...
WECWIS
2006
IEEE
144views ECommerce» more  WECWIS 2006»
15 years 5 months ago
Evaluation of Adaptive Computing Concepts for Classical ERP Systems and Enterprise Services
— To ensure the operability and reliability of large scale Enterprise Resource Planning Systems (ERP), a peak-load oriented hardware sizing is often used. Better utilization can ...
Martin Wimmer, Valentin Nicolescu, Daniel Gmach, M...
ICMLA
2007
15 years 1 months ago
Control of a re-entrant line manufacturing model with a reinforcement learning approach
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
José A. Ramírez-Hernández, Em...
IPPS
2006
IEEE
15 years 6 months ago
A simulator for parallel applications with dynamically varying compute node allocation
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. We introduce the concept of dynamic ef...
Basile Schaeli, B. Gerlach, Roger D. Hersch
BTW
2005
Springer
113views Database» more  BTW 2005»
15 years 5 months ago
A Learning Optimizer for a Federated Database Management System
: Optimizers in modern DBMSs utilize a cost model to choose an efficient query execution plan (QEP) among all possible ones for a given query. The accuracy of the cost estimates de...
Stephan Ewen, Michael Ortega-Binderberger, Volker ...