To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
This paper develops and evaluates new share-based scheduling algorithms for differentiated service quality in network services, such as network storage servers. This form of resou...
—Collecting per-flow aggregates in high-speed links is challenging and usually requires traffic sampling to handle peak rates and extreme traffic mixes. Static selection of sa...
This paper presents a novel approach that simplifies real-time multimedia communication applications development and service provision. Such applications are no longer required to...
The required real-time and high-rate transfers for multimedia data severely limit the number of requests that can be serviced concurrently by Video-on-Demand (VOD) servers. Resour...