OCTRA‐5G: Osmotic computing based task scheduling and resource allocation framework for 5G

Abstract

SummaryLong term evolution (LTE) mobile technology provides high data rate and low latency. 5G Technology is capable of handling the increasing number of IoT devices and provides ultra‐low latency, higher throughput, and higher reliability. Mobile edge computing (MEC) a key 5G technology strengthens the real‐time processing ability, releases the load on the Core Network, and helps in the real‐time processing of data, fulfilling the promise of high data rate and low latency. MEC is used to manage services efficiently to the near user resource. Using Osmotic Computing the services are efficiently scheduled and migrated. The work presented in this article proposes OCTRA‐5G Framework to effectively schedule services and allocate resources using Osmotic Computing (OC) by segregating the services into microservices and macroservices. The results are validated on the sets of 10, 20, and 30 gNBs (base stations) through simulation. OCTRA‐5G is tested on First Come First Serve (FCFS), Priority Scheduling (PS), and Shortest Job First (SJF) algorithm. FCFS provides less time complexity and higher throughput. The results presented using numerical simulations shows better performance by an average of 66.921% with OC than without OC.