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SIGCOMM
2012
ACM
12 years 1 months ago
ShadowStream: performance evaluation as a capability in production internet live streaming networks
As live streaming networks grow in scale and complexity, they are becoming increasingly difficult to evaluate. Existing evaluation methods including lab/testbed testing, simulati...
Chen Tian, Richard Alimi, Yang Richard Yang, David...
HOTOS
2007
IEEE
14 years 2 months ago
Optimizing Power Consumption in Large Scale Storage Systems
Data centers are the backend for a large number of services that we take for granted today. A significant fraction of the total cost of ownership of these large-scale storage syst...
Lakshmi Ganesh, Hakim Weatherspoon, Mahesh Balakri...
BMCBI
2010
156views more  BMCBI 2010»
13 years 11 months ago
Mathematical model for empirically optimizing large scale production of soluble protein domains
Background: Efficient dissection of large proteins into their structural domains is critical for high throughput proteome analysis. So far, no study has focused on mathematically ...
Eisuke Chikayama, Atsushi Kurotani, Takanori Tanak...
ECML
2006
Springer
14 years 2 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Scott Proper, Prasad Tadepalli
ESCIENCE
2006
IEEE
14 years 4 months ago
Job Failure Analysis and Its Implications in a Large-Scale Production Grid
In this paper we present an initial analysis of job failures in a large-scale data-intensive Grid. Based on three representative periods in production, we characterize the interar...
Hui Li, David L. Groep, Lex Wolters, Jeffrey Templ...