Browsing by Author "SAJID ALI"

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    Meta-heuristic based offloading task optimization in mobile edge computing
    (UMT, Lahore, 2020) SAJID ALI
    With the recent advancements in the Internet of things (IoT) and 5G, the realization of computation-intensive applications like virtual/augmented reality, face recognition and real-time video processing become possible at mobile devices. These applications require heavy computations for real-time decision making and better user experience. However, mobile devices and IoT have imperfect battery energy and computational power. Executing such heavy computation-intensive tasks on IoT devices either leads to high computation latency or response within a given time bound at the cost of high energy consumption. Recently, Mobile edge computing (MEC) has been evolved and used for offloading these high computational applications. In MEC, IoT devices send their tasks to edge servers, which in turn perform fast computation. However, a large number of IoT devices and computational power of the edge server puts an upper bound on concurrent task execution. Executing a huge number of tasks at the server tends to provide high response time. Moreover, if the task size is too small, executing it over an edge server causes increased energy consumption due to communication. Therefore, it is required to have an optimal selection for tasks offloading such that the response time and energy consumption will become a minimum. In this research, we aimed to have an optimal selection of offloading tasks using well-known meta-heuristics Ant colony optimization (ACO), Whale optimization algorithm (WOA), and Grey wolf optimizer (GWO). Results show that GWO outperforms the others in terms of optimizing energy consumption and execution latency while selected optimal set of offloading task.