168 / 2016-12-03 15:43:47

Application Traffic Classification Based Hadoop Framework in Software Defined Wireless Network of 5G

Software Defined Wireless Network (SDWN), Hadoop framework, Discrete optimization algorithm, Application traffic classification

With the development of the 5G communication systems,
the coexistence of a variety of wireless networks has become
an inevitable trend. Different wireless networks have different
features and applications. However, they are independent of each
other and has no cooperative relationship in the most cases.
Based on this condition, we proposed a intelligent framework
with combination of Sofware Defined Wireless Network (SDWN)
and Hadoop Framework, where SDN controller manages all
wireless access points in terms of the inaccurate data information,
and then the hadoop can help the SDN with handling with
the information to make a suitable and fast global decision.
Moreover, a discrete optimization algorithm is presented to solve
the problem of the inaccurate feedback information and can have
a fast rate running in the hadoop mapreduce by the method
of application traffic classification. Extensive simulations show
that our proposed framework and algorithm can make wireless
network.