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» Load prediction using hybrid model for computational grid
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EENERGY
2010
13 years 11 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...
SIGMOD
2007
ACM
197views Database» more  SIGMOD 2007»
14 years 7 months ago
Automated and on-demand provisioning of virtual machines for database applications
Utility computing delivers compute and storage resources to applications as an `on-demand utility', much like electricity, from a distributed collection of computing resource...
Piyush Shivam, Azbayar Demberel, Pradeep Gunda, Da...
GISCIENCE
2004
Springer
130views GIS» more  GISCIENCE 2004»
14 years 1 months ago
Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis
The spatial auto-regression (SAR) model is a popular spatial data analysis technique, which has been used in many applications with geo-spatial datasets. However, exact solutions f...
Baris M. Kazar, Shashi Shekhar, David J. Lilja, Ra...
ICNP
2007
IEEE
14 years 2 months ago
Identifying High Throughput Paths in 802.11 Mesh Networks: a Model-based Approach
Abstract— We address the problem of identifying high throughput paths in 802.11 wireless mesh networks. We introduce an analytical model that accurately captures the 802.11 MAC p...
Theodoros Salonidis, Michele Garetto, A. Saha, Edw...
HCI
2011
12 years 11 months ago
Modeling Pharmacokinetics and Pharmacodynamics on a Mobile Device to Help Caffeine Users
We introduce a mobile device application that displays key information about caffeine: the pharmacokinetics (time course of drug levels) and pharmacodynamics (the effects of caffei...
Frank E. Ritter, Kuo-Chuan (Martin) Yeh