Enhancing Edge Computing in Mobile Dependence and Qos Monitoring

Abstract

A new computing paradigm that operates at the network's edge is known asmobileedgecomputing.Byplacingedgeserversclosetomobiledevices,itoffersservices to users. Due to shifting edge environments, services may not functionproperlyor do not meet user requirements.The concept of "quality of service"(QoS) is widely recognized as a vital measure of a service’s excellence. Mobile edge computing becomes even more crucial to promptly and effectively monitor the QoS of services. However, due to user mobility and interdependencies in QoS values, monitoring resultsgenerally departfrom the actual outcomes in the mobile edge environment. Unfortunately, the current QoS monitoring strategies fail to consider these challenges. To address this, we introduceghBSRM-MEC (Gaussian hidden Bayesian Runtime Monitoring for Mobile Edge Computing), an innovative strategy that takes into account mobility and dependence factors in QoS monitoring. This paper presents ghBSRM-MEC as a promising solution to these issues.