Analyzing Optical Networks by Big Data

Optical fibers are somewhat in the field of communication rather than copper modems. This technology is presented in two generations. The RWA problem in optical networks is to minimize the number of wavelengths required to create the required paths.Solving the RWA problem means determining all the required light paths and wavelengths with a minimum wavelength. One way of solving this problem is to provide in one step an input file to the HDFS that contains the request information Lightpath s demand, and in the second phase, the file is read by the map function, where the demand list is considered as a value, along with the various keys from 0 to 19, which later become randomized as the action seed in action they do The hardware consists of several computers connected by a switch, in which a computer acts as a master and others as slave. To connect all of these computers to work together, a software called Hadoop is installed on computers . New services in optical networks are required, such as large and dynamic bit rates. This has led network operators to search for network virtual network architecture (VNT) that can dynamically handle traffic projections. One of the solutions is to provide more features on the network, which, of course, will increase the total cost of ownership.

کلیدواژه ها:

Big Data ، Optical Network ، RWA ، network optimization ، Hadoop ، VNT