Abstract
Abstract The multi-replica strategy widely used in the traditional cloud makes storage costly and the replica cannot be accurately located. Due to many heterogeneous nodes in different locations of the edge cloud system, inefficient replica strategy will greatly affect the load balancing of the system. Therefore, the dynamic multi-objective optimized replica placement and migration strategies for SaaS applications in edge cloud are proposed in this paper. The multi-objective optimized replica placement problem is solved according to the fast non-dominated sorting genetic algorithm. In the experiment, the algorithm of replica placement will minimize the effective network utilization, reduce the response time and guarantee the load balancing of data nodes. Moreover, the replica migration model for access hotspots is proposed to obtain the pairing migration relationship from source node to target node. In the experiment, the replica migration algorithm will effectively reduce the migration time, minimize the response time and improve network resource utilization. Besides, the applicability of the proposed replica methods is shown in different scenarios such as the social media, intelligent agriculture, military field and transportation field.
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