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DATE
2008
IEEE
136views Hardware» more  DATE 2008»
14 years 3 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
ATAL
2010
Springer
13 years 10 months ago
Quasi deterministic POMDPs and DecPOMDPs
In this paper, we study a particular subclass of partially observable models, called quasi-deterministic partially observable Markov decision processes (QDET-POMDPs), characterize...
Camille Besse, Brahim Chaib-draa
CORR
2010
Springer
101views Education» more  CORR 2010»
13 years 9 months ago
Probing Capacity
We consider the problem of optimal probing of states of a channel by transmitter and receiver for maximizing rate of reliable communication. The channel is discrete memoryless (DM...
Himanshu Asnani, Haim H. Permuter, Tsachy Weissman
SASO
2010
IEEE
13 years 6 months ago
Extracting Overlay Invariants of Distributed Systems for Autonomic System Management
Many large-scale distributed systems have been built with great complexity to run Internet services. Due to the heterogeneity and dynamics of complex systems, it is very difficult ...
Hanhuai Shan, Guofei Jiang, Kenji Yoshihira
SIGMETRICS
1997
ACM
151views Hardware» more  SIGMETRICS 1997»
14 years 1 months ago
Analyzing Stability in Wide-Area Network Performance
The Internet is a very large scale, complex, dynamical system that is hard to model and analyze. In this paper, we develop and analyze statistical models for the observed end-to-e...
Hari Balakrishnan, Mark Stemm, Srinivasan Seshan, ...