Explainable Agent AI-Based Intelligent Edge Service Allocation Framework for Cloud–Edge Computing

Abstract

The concept of Cloud-Edge computing has proven to be an efficient paradigm for dealing with latency-sensitive applications through closer access to computational services. However, the selection of the right Edge service provider is difficult because of the dynamic nature of resource availability, quality of service, workload variability, provider reliability, and requirements for different applications. Current approaches to Edge service allocation concentrate on cost minimization or scheduling but do not offer sufficient assistance in transparent decision-making, provider verification, adaptive Edge service allocation, monitoring, and intelligent payment management. Such approach leads to the inefficiency of the allocation process, interruptions in the execution of tasks, and increased human intervention. The paper proposes the Explainable Agent AI-Based Intelligent Edge Service Allocation Framework for Cloud-Edge Computing. The Explainable Agent AI-Based Intelligent Edge Service Allocation involves the implementation of an autonomous Explainable Agent AI in the cloud that is responsible for the provider registration, provider verification, intelligent Edge service allocation, data-aware classification of services, reliability assessment, explainable decision-making, smart contract creation, escrow payment management, and continuous monitoring of services. The Agent AI conducts a preliminary assessment of the live status of the registered providers and performs evaluations for budget compatibility, computation, storage, bandwidth, reliability, scalability, workload, past performance history of the services, service rating, connectivity reliability, and QoS to determine the best available provider of Edge service. Throughout the process, the framework keeps an eye on the quality of the services and reassigns the rest of the workload to a new provider in case of any drop in the service quality or even failure. Escrow based smart contracts ensure that the payment is done only after the successful completion of the task, which ensures fair reward and prevention of financial loss. Experimental analysis shows enhancements in the efficiency of Edge service allocation, resource utilization, service reliability, service continuity, quality of data transmission, and operational performance.