Nowadays, bandwidth allocation schemes in a TCP/IP or ATM network are congestion avoidance oriented. Few scheme has taken global optimization into account, for global optimization problem can not be easily solved by conventional mathematical method due to the complexity and large-scale of massive information system, such as Internet. We present a novel bandwidth allocation scheme based on generalized cellular automaton (GCA). Firstly we introduce how to map network topology into GCA model, then we propose how cells and macro cells interact in our solution. Our simulation results show the scheme leads to global optimization rapidly.
在电子商务交易中,为了防止交易抵赖,保证买卖双方在交易时的公平性,半可信/可信的第三方(简称TTP,a Trusted Third Party)担任着重要的角色。半可信第三方协议中的Exchange协议、Abort协议、Resolve协议以及TTP的Inline TTP-Coffey-Saidha协议在电子商务中,结合Esign数字签名和加密技术确保电子交易的公正性、公平性、安全性和可靠性。
We design and implement a novel information self-organization model based on Generalized Cellular Automata (GCA), to accomplish network information content self-organization employing the idea of swarm intelligence. Through constructing correspondent cell rules and the mapping of complex network environment to our GCA, reasonable distribution of network information from different information sources can be achieved on different notes according to dynamic variation of local network circumstances. Simulation experiment results show many advantages of our methodology over present approaches in terms of efficiency, adaptability, reliability, and easy hardware imple- mentation.
