This paper addresses the challenging problem of similarity search over widely distributed ultra-high dimensional data. Such an application is retrieval of the top-k most similar d...
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
—Layered streaming in overlay networks has drawn great interests since not only can it accomodate large scales of clients but also it handles client heterogeneities. However, to ...
In today’s extensive worldwide Internet traffic, some 60% of network congestion is caused by Peer to Peer sessions. Consequently ISPs are facing many challenges like: paying fo...