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SIGIR
2006
ACM
14 years 3 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
SIGMETRICS
2006
ACM
102views Hardware» more  SIGMETRICS 2006»
14 years 3 months ago
On the way to a distributed systems calculus: an end-to-end network calculus with data scaling
Network calculus is a min-plus system theory which facilitates the efficient derivation of performance bounds for networks of queues. It has successfully been applied to provide e...
Markus Fidler, Jens B. Schmitt
SIGMETRICS
2006
ACM
174views Hardware» more  SIGMETRICS 2006»
14 years 3 months ago
Understanding the management of client perceived response time
Understanding and managing the response time of web services is of key importance as dependence on the World Wide Web continues to grow. We present Remote Latency-based Management...
David P. Olshefski, Jason Nieh
SIGUCCS
2006
ACM
14 years 3 months ago
Because we have better things to do: automating common support tasks
As technology permeates more aspects of our everyday lives, greater demands are placed on information technology personnel. Lehigh University computing consultants have found thei...
Keith B. Erekson, Stephen G. Lewis
SPAA
2006
ACM
14 years 3 months ago
Towards a scalable and robust DHT
The problem of scalable and robust distributed data storage has recently attracted a lot of attention. A common approach in the area of peer-to-peer systems has been to use a dist...
Baruch Awerbuch, Christian Scheideler