基于MapReduce仿生优化算法的SaaS服务与设计  

SaaS Service and Design Based on MapReduce Bionic Optimization Algorithm

作　　者：李明东 卢彪[1] 焦杰 LI Ming-dong;LU Biao;JIAO Jie(College of Information Engineering,Suzhou University,Suzhou Anhui 234000,China)

机构地区：[1]宿州学院信息工程学院

出　　处：《兰州工业学院学报》2019年第3期68-72,共5页Journal of Lanzhou Institute of Technology

基　　金：2018年安徽省自然科学研究重点项目(KJ2018A0448);2018年安徽高校自然科学研究项目(KJ2018A0447);2017年度宿州学院重点科研项目(2017yzd19)

摘　　要：为解决传统SaaS服务不能完全满足用户需求的问题,设计了基于MapReduce仿生优化算法的SaaS服务.采用SaaS平台中服务的分组部署策略及部署算法,使之产生闲置服务器,让用户的服务请求能够分发到数据中心的分类服务器上;改进优化了传统MapReduce的仿生优化算法,进行了多重租赁服务算法、多重租赁服务框架等多租户服务定制.结果表明:实现了基于MapReduce仿生优化算法的SaaS服务的优化,该服务能为多个用户提供符合要求的SaaS定制服务,可为用户提供合适的SaaS配置方案.In order to solve the problem that traditional SaaS services cannot fully meet the needs of users,a SaaS service based on MapReduce bionic optimization algorithm is designed.The strategy and algorithm of group deployment of services in SaaS platform are adopted to generate idle servers,so that users' service requests can be distributed to classified servers in data center.The bionic optimization algorithm of traditional MapReduce is improved and optimized,and multi-tenant service customization is carried out,such as multi-tenancy service algorithm,multi-tenancy service framework and so on.The results show that the optimization of SaaS service based on MapReduce bionic optimization algorithm is realized.The service can provide customized SaaS service for multiple users and the most suitable SaaS configuration scheme for users.

关 键 词：云计算 MAPREDUCE SAAS 蚁群算法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]