Routing Mechanism Based On Ant Colony Algorithm And Management Techniques In Optical Network

Intelligent optical network is the development trend of the transmission network, which has the capability of dynamic link and supporting multiple types of business, and can assign bandwidth according to demand real-time. As a core technology on the control plane of intelligent optical network, routing technology is the stress and difficulty for standardization of intelligent optical network. In intelligent optical network, it should assign bandwidth real-time and dynamic to meet the demand of expanding network scale and business.In the optical domain, the routing process is known as RWA, which is different from traditional routing process in IP/MPLS.To meet the requirements of traffic engineering, it should find the physical nodes and links in optical path (routing sub-problem), and one or several wavelengths (wavelength assignment sub-problem) at the same time. There are three methods to solve the routing sub-problem:Fixed Routing, Fixed Alternate Routing and Adaptive Routing.With the continuous development of computer network technology, network management has gradually become an indispensable component in computer network. Network management is the application of effective methods to manage the network in order to make it operate smoothly and efficiently. At present, SNMP, CMIP and CORBA are network management protocols in common use.In this paper, I will start with research on routing algorithms in intelligent optical network, focusing on the routing mechanism based on ant colony algorithm. I will make the coding experimental simulation platform to compare the performance of ant colony algorithm and D algorithm.At last, the paper will put emphasis on network management techniques in optical network. Through comparing SNMP and CORBA, A CORBA/SNMP integration network management system model is proposed, thus ensuring higher efficiency of the network management contrasting traditional network management implementation models.ChapterⅡstudies the basic principles of ant colony algorithm and D algorithm. In ant colony algorithm,the choices of parameters play an important role for the performance of algorithm.Parameters will be different along with the change of topology. In this part, I also make same coding to verify the role of each parameter, and then summarize the steps to determine the parameters in ant colony algorithm.ChapterⅢfocus on the applications of D algorithm and ant colony algorithm in optical network routing. We built a test platform that uses ant colony algorithm to search routing under three circumstances:the network is normal, a single node down and a link down. Moreover, we also do some simulation to compare the search routing performance of D algorithm and ant colony algorithm in the case of wavelength continuity constraint, verifying ant colony algorithm is better than D algorithm.Chapter IV research two network management technologies in optical network: SNMP and CORBA. A CORBA/SNMP integration network management system model is proposed on the basis of comparing the characteristics of SNMP and CORBA.