Design and Implementation of Analytical Load Balancing between Distributed Collaborative Container Platforms

Abstract

Container-based Micro Service technology has problems with the limitations of resource expansion and the inability to move services between container platforms to respond to growing user traffic. For this reason, distributed collaborative container plat-form(DCCP) technology has emerged that provides the expansion and availability of services and enables collaboration among locally distributed container platforms. DCCP is an essential technology to overcome the limitations of existing stand-alone container platforms by maximizing flexible expansion of resources and service mobility through collaboration between distributed platforms. In this paper, the inter-platform traffic load balancing technology is proposed to construct DDCP. The proposed technology analyzes the user's traffic, identifies the user's geographic location information, and calculates scores for each distributed platform. The scoring method calculates the geographical score based on the platform's geographical location information and the user's geographical location, and calculates the resource score by analyzing the platform's resource status. Transport traffic through the calculated geographical scores and resource scores to the platform that holds the highest scores. The proposed technology provides analytical load balancing technology that addresses the non-efficient problem of randomly dispersing loads on existing independent platforms by load balancing according to the location and resource status of the platform.