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ANSS
1996
IEEE
13 years 10 months ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
CORR
2010
Springer
201views Education» more  CORR 2010»
13 years 3 months ago
Online Advertisement, Optimization and Stochastic Networks
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
R. Srikant
SENSYS
2009
ACM
14 years 1 months ago
The case for a network protocol isolation layer
Network protocols are typically designed and tested individually. In practice, however, applications use multiple protocols concurrently. This discrepancy can lead to failures fro...
Jung Il Choi, Maria A. Kazandjieva, Mayank Jain, P...
INFORMS
1998
142views more  INFORMS 1998»
13 years 6 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
IPPS
2008
IEEE
14 years 20 days ago
Random choices for churn resilient load balancing in peer-to-peer networks
Peer-to-peer (P2P) networks based on consistent hashing functions have an inherent load uneven distribution problem. Things are even worse in unstructured P2P systems. The objecti...
Song Fu, Cheng-Zhong Xu, Haiying Shen