Mobile agents have been proposed as a solution to the problem of the management of increasingly heterogeneous networks. However, the proposed solutions often ignore the value of l...
Instead of the increase-by-onedecrease-to-halfstrategy used in TCP Reno for congestion window adjustment, we consider the general case such that the increase value and decrease ra...
Motivated to design a feasible optical network architecture for the future Internet, we address the question of scheduling (wavelength assignment) in an optical network. The key ch...
— Optical networks with book-ahead bandwidth schedulers are being deployed to meet the high-speed and predictable-service networking requirements of applications in the scientiï¬...
Xiangfei Zhu, Mark E. McGinley, Tao Li, Malathi Ve...
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...