Service availability analysis of GMPLS network
ABSTRACT The paper deals with the need of high availability of services in the GMPLS-based optical network. The influence of control plane reliability on transport plane services is studied. Several models of control plane implementation with different levels of reliability are mentioned. The impact of applying these models on the availability of services over long-term operation is examined using simulation methods. The results show quantitative differences of service availabilities after using different models. The presented results help designers to choose an implementation model and balance the reliability of GMPLS networks with the cost of their implementation.
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ABSTRACT: In this paper, Generalized Multiprotocol Label Switching (GMPLS) controlled optical networks are considered as industry communication network. GMPLS is a Next-Generation Network technology which will be used to build new Internet backbone. Thanks to the features of a new public network, Internet can become a platform for industrial communication including critical data, transactional flow, and real-time data. The benefits of such a network for industry are explained in this paper. Next, the idea and architecture of intelligent, next-generation optical transport networks is discussed and explained. One of the challenges of GMPLS technology is a reliability as the main factor which influences service quality. Therefore, the method of improving reliability of GMPLS is proposed. This method bases on the implementing of redundancy in the control plane. Using Monte Carlo simulation and proposed reliability analysis method quantity improvement of GMPLS network reliability is shown and the merits of using this method are confirmed. Achieved simulation results and analysis confirm also that this emerging optical transport network will offer industry long distance communication with transmission condition compared to what is provided by dedicated WAN links. Simultaneously using public infrastructure can reduce cost of long distance communication.IEEE Transactions on Industrial Informatics 01/2011; 7:671-678. · 3.38 Impact Factor