Fast and More Scalable Positioning Method for Data Centers in LTE Networks

Currently, data centers are considered as the most important parts of internet services such as electronic commerce, social networks and mobile networks. The increasing number of mobile users on the one hand, and the use of data traffic on the other, have led LTE operators to find new methods for more optimized and faster data centers localization. The role of data centers in LTE networks is very important because they have the task of maintaining the mobile network functions, which play a key role in processing requests and information and responding to user requests. According to the population density criterion, inaccurate location of data centers will increase the cost and time to respond to user requests. Because failing to put the data center in its proper place increases the number of requests that users send to that data center, which increases response time. Therefore, the introduction of new methods and models in this field can be of great importance. In this article, in addition to proposing a new mathematical model for data centers positioning via applying a meta-heuristic algorithm, we will search for optimized data centers positioning in a faster and more scalable way. Based on the results, the model presented in this paper has been able to show significant results in terms of scalability in the number of data centers and the number of requests as well as the response time of the users’ requests. In addition, the implementation of this model using TABU Search algorithm has optimized the results.