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» How to measure a large open-source distributed system
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ESANN
2007
15 years 7 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ASYNC
2006
IEEE
72views Hardware» more  ASYNC 2006»
16 years 2 days ago
Measuring Deep Metastability
Present measurement techniques do not allow synchronizer reliability to be measured in the region of most interest, that is, beyond the first half cycle of the synchronizer clock....
David Kinniment, Keith Heron, Gordon Russell
ICALP
2010
Springer
15 years 8 months ago
How Efficient Can Gossip Be? (On the Cost of Resilient Information Exchange)
Gossip protocols, also known as epidemic dissemination schemes, are becoming increasingly popular in distributed systems. Yet, it has remained a partially open question to determin...
Dan Alistarh, Seth Gilbert, Rachid Guerraoui, Mort...
ECRTS
2009
IEEE
15 years 3 months ago
Generalized Tardiness Quantile Metric: Distributed DVS for Soft Real-Time Web Clusters
Performing QoS (Quality of Service) control in large computing systems requires an on line metric that is representative of the real state of the system. The Tardiness Quantile Me...
Luciano Bertini, Julius C. B. Leite, Daniel Moss&e...
HASKELL
2008
ACM
15 years 7 months ago
Haskell: batteries included
The quality of a programming language itself is only one component in the ability of application writers to get the job done. Programming languages can succeed or fail based on th...
Duncan Coutts, Isaac Potoczny-Jones, Don Stewart