A multilevel decentralized trust management-aware OS-GRU and S-fuzzy-based dynamic task offloading in block-chain enabled Edge-Cloud

Abstract

Recently, the dynamic Task Offloading (TO) in the cloud computing paradigm has gained immense popularity among researchers. However, the traditional systems were ineffective due to the absence of multilevel decentralized trust management. Hence, this work proposed a multilevel decentralized trust management framework named OS-GRU and S-FUZZY-based dynamic TO in Blockchain (BC)- aided IoT Edge-Cloud Computing (ECC). Initially, the IoT devices are registered in the edge layer. Also, the DL-Scrypt is used to generate the hash code of the SLA. Then, the devices log in to the network to access the cloud resources using SLA. Similarly, the trust evaluation is done between the edge layer and fog layer using S-Fuzzy. If the trust is high then the hash code is verified in the blockchain. If verified, the tasks are clustered using k-means. Thereafter, the trust between the fog layer and cloud layer is validated, followed by load-balancing. Subsequently, the load-balanced data is inputted to the workload prediction framework. Now, the proposed OS-GRU is utilized to identify the cloud server’s workload. Next, the task’s features and cloud features are used to perform dynamic task offloading. Thus, the experimental outcomes proved that the proposed methodology had higher significance with an accuracy of 98.63 %.