Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
IPTV service providers offering Video-on-Demandcurrently use servers at each metropolitan office to store all the videos in their library. With the rapid increase in library sizes...
David Applegate, Aaron Archer, Vijay Gopalakrishna...
We investigate the asymptotic behavior of the steady-state queue length distribution under generalized maxweight scheduling in the presence of heavy-tailed traffic. We consider a s...
Krishna P. Jagannathan, Mihalis Markakis, Eytan Mo...
Web caching has been proposed as an effective solution to the problems of network traffic and congestion, Web objects access and Web load balancing. This paper presents a model for...
Abstract—In the Infrastructure-as-a-Service (IaaS) cloud computing market, spot instances refer to virtual servers that are rented via an auction. Spot instances allow IaaS provi...