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Routing algorithm of real-time multicast communication based on Hadoop platform

With the increasing scale of clusters and the increasing QoS (Quality of service) of users, the existing scheduling algorithms are increasingly difficult to adapt to the dynamically changing environment andmeet the needs of users. The use ofmulticast routing technology can reduce the possibility of network congestion and improve the transmission efficiency of data in the network. The key to multicast communication is the realization of multicast routing algorithm, that is, how to build a simple, effective and robust multicast routing tree. In this paper, an ant colony algorithm (ACA) for QoS multiconstraint real-time multicast communication routing is proposed based on Hadoop platform. In the process of multicast path selection, find the available wavelength, bandwidth, delay and energy consumption paths that meet QoS requirements. Experimental results show that the algorithm improves the utilization rate of the whole optical network resources, and more effectively prevents the further aggravation of congestion in the optical network.