Edge Computing – EDGE 2018

Abstract

Limitations like network latency and expensive cost are pushing cloud computing to the edge. Edge computing, also known as fog computing is an extension of cloud computing, providing features to solve problems of cloud computing. However, edge computing is unstable and not enough reliable at present. Orchestration may occur occasionally in order to meet the need of the users. This paper provides an architecture named Boundless Resource Orchestrator (BRO) combing cloud computing and edge computing based on containers. Containers provide more lightweight virtualization compared to VMs. The proposed architecture leverages container technology to accelerate and optimize the orchestration process taking container as the basic component of orchestrating and minimum resource unit for service distribution. A master-slave paradigm is implemented in the architecture to provide region autonomy abilities rather than the centralized architecture. Considering the ever-changing circumstance of edge cloud, an orchestration strategy named Best Performance at Least Cost (BPLC) is proposed to maximize the performance of computing at minimum cost dynamically and automatically considering real-time conditions of the cloud. Experiments are carried out on measuring couples of infrastructures and orchestration strategies that prove the BRO and BPLC as prior choices dealing with massive jobs in edge computing.