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challenges have been generated within the system and to cope with this situation many networks models has been designed and upgraded time to time. Some approaches such as Software Defined Networking (SDN) is helpful to provide centralized mechanism building strategy to handle this ever increasing demand. Machine learning concept has been evolved to manage the network administration situation and helps to measure the network essential requirements to minimize the burden over the system. To understand this scenario the network prediction or network traffic prediction system was developed bymaking use of some ML process and make it easy to manage the resources in an efficient way.
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