Distributed Resource Distribution and Offloading for Resource-Agnostic Microservices in Industrial IoT

Due to increase in real-time mobile applications and Industrial Internet-of-Things (IIoT) devices, the edge computing paradigm provides a systematic eccentric platform for applications. Though an effective infrastructure, however resource requirements of IIoT devices change radically with time, which is described as resource-agnostic property. Therefore, estimation critical resilient assignment. In addition, it requires extensive amount resources process data traffic flows microservice offloading. Hence, we present RAISE, novel offloading scheme devices. RAISE efficiently estimates nature maximize their utilization network. Based on estimated requirement, propose success rate. Extensive experiments show that better performance terms network throughput Quality-of-Service (QoS) than other existing methods, SDTO DTOS, cost reliability.