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Resource allocation has been a critical issue in Mobile Edge Computing (MEC) since MEC servers colocated at Base Stations (BS) are limited in resources and users are competitive in nature. Users' devices have restraint on power and computation capability. Moreover, users want to offload their tasks to meet their latency deadlines and they have cost for offloading their tasks. In this paper, we analyze this tradeoff between cost and latency for offloading tasks. Basically, if users want to have less latency, they need more resources to accomplish this. But, more resources to allocate to users means they have to pay more cost. In addition, we formulate the resource allocation as Generalized Nash Equilibrium Problem because users' strategies are conflicted with one another when they compete for the resources from the resources pool at the BS. We propose a distributed algorithm for the game formulation since users …