Future dynamic computing and user profile execution considering user migration in social media contexts

Abstract

Asymmetricity in user subscription aboard social media platforms leads to a case where emerging social media platforms have more users than existing and established social media platforms. This leads to a scenario where the computing capacity aboard the data centers of established social media platforms is unutilized or underutilized. In addition, emerging social media platforms are often capital constrained and require access to computing resources to host and execute user profiles. The presented research proposes a network architecture that enables emerging social media platforms to make use of the idle computing resources of established social media platforms. The power usage effectiveness and computing resource utilization are enhanced by 31.2% and (32.8-50.5)% on average, respectively.