The applications such as teleconferencing, network gaming, and online trading which are of Multiparty interactive network applications are gaining more popularity. Having more popularity these application mainly requires minimized delay difference among the multiple clients in the service for interactive experience. So here we are proposing Latency Equalization (LEQ) service, which minimize the delay difference among all the clients who are participating in the interactive network application. It is nothing but it nearly equalizes the perceived latency for all the clients. The network support plays crucial role inorder to effectively implement our proposal LEQ. In our proposed network it uses some routers as hubs inorder to redirect the packets in interactive applications along paths with same endtoend delay. Here firstly, we need to solve the hub selection problem. Inorder to solve it, prove its NP hardness, and provide a greedy algorithm. With huge experiments we had shown our LEQ reduces the delay difference among the clients under different optimization criteria that allow or do not allow compromising the peruser endtoend delay. This Latency Equalization was growing fastly in present environment by implementing few changes in it.
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