A Novel Micro-services Cluster Based Framework for Autonomous Vehicles

Abstract

Modern technologies like digital spaces, intelligent transportation, and digital operations are faced with technical challenges related to data capturing, data processing, data storage, data security, communication, etc. Ensuring security and reliable message propagation among autonomous vehicles is a major challenging task. Establishing appropriate environment for developing vehicular-based solutions by the vehicle manufactures increases their estimated cost and time. Hence, to minimize this problem, this proposal aims to introduce Service Oriented Architecture (SOA) principles, to access trust based solutions as simple cloud based services by the clients. We propose a framework to integrate three mandatory vehicular applications namely trust estimation, secured message dissemination, and routing as cloud-based microservices. We also propose an innovative CipherText Policy Attribute Based Encryption (CP-ABE) algorithm to ensure confidentiality of data by an access control system in highly dynamic and automated network. The services are deployed as Docker images using advanced concepts of Dockers and Containers. Dockers coordinate the orchestration of multiple tasks related to the proposed microservices and help to implement the services in cross-platform environments. These services can be implemented in both autonomous and manual vehicular systems. The service providers can charge the clients based on the usage of the services. A detailed experimental analysis is accomplished to evaluate the performance of the proposed micro services in cross platform environments; further, an extensive simulation is performed to assess the individual performance of the proposed vehicular applications.