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SIGMETRICS
2008
ACM
101views Hardware» more  SIGMETRICS 2008»
15 years 3 months ago
How to parameterize models with bursty workloads
Although recent advances in theory indicate that burstiness in the service time process can be handled effectively by queueing models (e.g., MAP queueing networks [2]), there is a...
Giuliano Casale, Ningfang Mi, Ludmila Cherkasova, ...
ISPASS
2006
IEEE
15 years 9 months ago
Modeling TCAM power for next generation network devices
Applications in Computer Networks often require high throughput access to large data structures for lookup and classification. Many advanced algorithms exist to speed these searc...
Banit Agrawal, Timothy Sherwood
SIAMIS
2010
378views more  SIAMIS 2010»
14 years 10 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
DEXAW
2008
IEEE
120views Database» more  DEXAW 2008»
15 years 9 months ago
Self-Similarity Metric for Index Pruning in Conceptual Vector Space Models
— One of the critical issues in search engines is the size of search indexes: as the number of documents handled by an engine increases, the search must preserve its efficiency,...
Dario Bonino, Fulvio Corno
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
15 years 9 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle