We propose a low-overhead sampling infrastructure for gathering information from the executions experienced by a program’s user community. Several example applications illustrat...
Ben Liblit, Alexander Aiken, Alice X. Zheng, Micha...
This paper presents a novel networking architecture designed for communication intensive parallel applications running on clusters of workstations (COWs) connected by highspeed ne...
Marcel-Catalin Rosu, Karsten Schwan, Richard Fujim...
In many data sharing settings, such as within the biological and biomedical communities, global data consistency is not always attainable: different sites' data may be dirty,...
Abstract— CDNs have been widely used to provide low latency, scalability, fault tolerance, and load balancing for the delivery of web content and more recently streaming media. W...
John G. Apostolopoulos, Tina Wong, Susie J. Wee, D...
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...