We present a storage management framework for Web 2.0 services that places users back in control of their data. Current Web services complicate data management due to data lock-in...
Neal H. Walfield, Paul T. Stanton, John Linwood Gr...
Applications that span multiple virtual organizations (VOs) are of great interest to the eScience community. However, recent attempts to execute large-scale parameter sweep applic...
Shahaan Ayyub, David Abramson, Colin Enticott, Sla...
Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/...
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
In this paper we conduct an extensive and in-depth study of traffic exchanged between YouTube data centers and its users, as seen from the perspective of a tier-1 ISP in Spring 20...