Abstract: During the process of applications deploying their VＲCs( Virtual Machine Ｒeplica Copies) resources on base stations and edge servers side in MEC ( Mobile Edge Computing) ，deployment strategy that unreasonably considers the user request distribution，and the matching between different applications resource request and edge servers' capacity will lead to a large amount of data traffic，network resource consumption and service delay． In order to solve this problem，a two-stage multi-application multi-VＲC allocation algorithm is proposed: VＲC block combination and VＲC block allocation． The VＲC block combination algorithm maximizes the quantity of highquality VＲC blocks and the swap matching-based VＲC block allocation algorithm minimizes the average data traffic． Experiments show that our algorithms can reasonably allocate VＲC，achieve the result that a 62． 8% reduction in data traffic through iteration，and provide effective support for the provision of multi-application services in the edge network．

Key words: mobile edge computing, virtual machine replica copy, multiple applications, average data traffic, placement policy