We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Cascadia is a system that provides RFID-based pervasive computing applications with an infrastructure for specifying, extracting and managing meaningful high-level events from raw...
A recurring problem in data centres is that the constantly changing workload is not proportionally distributed over the available servers. Some resources may lay idle while others ...
Roman van der Krogt, Jacob Feldman, James Little, ...
While peer-to-peer (P2P) file-sharing is a powerful and cost-effective content distribution model, most paid-for digital-content providers (CPs) use direct download to deliver th...
Alex Sherman, Angelos Stavrou, Jason Nieh, Angelos...
This paper addresses support for nzulti-party multimedia applications delivered across datagram wide-area networks such as the Internet. Our approach is to develop a novel retrans...
Matthew T. Lucas, Bert J. Dempsey, Alfred C. Weave...