We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
We propose Adaptive Multi-level ECN, a new TCP congestion scheme as an extension to Multi-level Explicit Congestion Notification (MECN). MECN algo- rithm allows network operators t...
As information technology supports more aspects of modern life, digital access has become an important tool for developing regions to lift themselves from poverty. Though broadban...
We present a resource management algorithm based upon guided “walks” within a system state space. Walks are guided via simple predictions of optimum behavior whose accuracy inc...
Current Quality of Service models such as those embodied in the Differentiated Services proposals, rely on data path aggregation to achieve scalability. Data path aggregation bund...