This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
We consider the problem of maximizing the minimum load for machines that are controlled by selfish agents, who are only interested in maximizing their own profit. Unlike the class...
Virtual machine monitors are becoming popular tools for the deployment of database management systems and other enterprise software applications. In this paper, we consider a commo...
Ahmed A. Soror, Ashraf Aboulnaga, Kenneth Salem, P...
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...
We address the problem of content-based dissemination of highly-distributed, high-volume data streams for stream-based monitoring applications and large-scale data delivery. Exist...