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» Modeling Dependable Systems using Hybrid Bayesian Networks
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ETT
2002
142views Education» more  ETT 2002»
13 years 8 months ago
Adaptive state- dependent importance sampling simulation of markovian queueing networks
In this paper, a method is presented for the efficient estimation of rare-event (buffer overflow) probabilities in queueing networks using importance sampling. Unlike previously pr...
Pieter-Tjerk de Boer, Victor F. Nicola
ICCCN
1997
IEEE
14 years 29 days ago
Time dependent priority scheduling for guaranteed QoS systems
With the advances in server technology, and the advent of fast Gigabit networks, it has become possible to support multi-media applications. To support the requirements for the tr...
Shailender Chaudhry, Alok N. Choudhary
ECIS
2003
13 years 10 months ago
Hybrid XML data model architecture for efficient document management
XML has been known as a document standard in representation and exchange of data on the Internet, and is also used as a standard language for the search and reuse of scattered doc...
Eun-Young Kim, Jin-Ho Choi, Jhung-Soo Hong, Tae-Hu...
HPDC
2010
IEEE
13 years 9 months ago
A hybrid Markov chain model for workload on parallel computers
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
Anne Krampe, Joachim Lepping, Wiebke Sieben
INFOCOM
2006
IEEE
14 years 2 months ago
On Hybrid Collision Control for IEEE 802.11 Ad-Hoc Networks
— We present in this work a new mechanism based on an innovative hybrid approach for traffic and collision control in wireless ad hoc networks. We combine the well known equatio...
Hicham Khalife