基于用户行为云存储服务端负载均衡研究
首发时间:2017-01-09
摘要:随着科学技术的不断发展,数据量呈现出爆炸性增长的趋势,人们对于海量数据的有效存储的需求日益迫切。云存储因为其扩展性强,可靠性高,容错性高,性价比高的优势被业界和科学界广泛关注并研究。而负载均衡是云存储资源有效利用,效率以及吞吐率的重要因素,论文基于软件定义云存储平台,主要以负载均衡为目标,综合云存储特性和用户行为来研究副本创建策略。论文针对当前云存储的缺点,考虑云存储的动态性和广域性建立基于用户行为的软件定义云存储系统(USDCS),重点研究读集中的视频类云存储环境,提出了基于用户行为和遗传算法的副本放置策略(LUGS),该策略能够利用用户行为的地域特征,且使用遗传算法搜索放置节点的最优解,在保持系统负载均衡的前提下尽量降低用户访问系统中数据的访问代价,并经过仿真实验验证了方案的有效性。
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RESEARCH ON THE CLOUD STORAGE LOAD BALANCE BASED ON USER BEHAVIOR FROM SERVER SIDE
Abstract:With the fast development of technology and the improvement of informationization, as well as the global data grows explosively, people need a new way to solve the problem of high cost of data and low reliability. Then cloud storage is formulated and acquires the attention of IT because of its' large capacity, high performance, low cost and high reliability etc. The cloud system's load balance is a hot research point now and this paper research on the cloud storage load balance based on user behavior from the server side and use a software define cloud storage model to find effective ways to of the replication layout strategy. For the shortcomings of the cloud storage system and considering the new characteristics of cloud storage, we proposed a Software Define Cloud Storage Based on User Behavior and a new replication management strategy base on the file heat and user behavior. This strategy can use the relationship between user behavior and location to help choose the location of replication to improve the load balance and decline the visit cost of users for the documents in the system.
Keywords: Cloud storage Load balance User behavior replication management Cost
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No.4716115117580914****
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