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» Modeling Dependable Systems using Hybrid Bayesian Networks
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ETT
2002
142views Education» more  ETT 2002»
15 years 1 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
15 years 5 months 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
15 years 2 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
15 years 2 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
15 years 7 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