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Distributed cache memory data migration strategy based on cloud computing

机译:基于云计算的分布式缓存数据迁移策略

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In view of the huge scale of cloud computing, cloud computing systems face many problemsin terms of scalability and high availability. In view of the distributed data storage in the cloudcomputing environment, a recursion based N boundary network model is constructed. A datamanagement model is given on the basis of the data center network structure. A replica distributionstrategy and a copy selection strategy are designed to improve the data availability andload balance. On the premise of guaranteeing data availability, a data migration algorithm basedon coverage set is proposed, which uses node selection strategy to reduce the migration cost asmuch as possible. Data migration makes more machines dormant and reduces energy consumption.By comparing and analyzing the experimental data, the correctness and effectiveness of theproposed network topology, datamanagementmodel, and data migration technology are verified.In the edge cloud computing architecture, in order to ensure the response time of the cloud computingservice andminimize the data redundancy in the system, this paper proposes and analyzesthe data migration strategy and the pre stored data migration strategy for the network transmission,and gives the suitable application scene. On this basis, in order to control the balanceof access network transmission and storage flexibly, a data migration strategy based on networkperformance is proposed, which ensures the real-time response of the service.
机译:鉴于云计算的巨大规模,云计算系统在可伸缩性和高可用性方面面临许多问题。鉴于云计算环境中的分布式数据存储,构建了基于递归的N边界网络模型。在数据中心网络结构的基础上,给出了数据管理模型。副本分发策略和副本选择策略旨在提高数据可用性和负载平衡。在保证数据可用性的前提下,提出了一种基于覆盖集的数据迁移算法,该算法采用节点选择策略来尽可能降低迁移成本。数据迁移使更多的机器处于休眠状态并降低了能耗。通过比较和分析实验数据,验证了所提议的网络拓扑,数据管理模型和数据迁移技术的正确性和有效性。在边缘云计算架构中,为了确保响应提出了基于云计算服务的时间和最小化系统中的数据冗余的方法,提出并分析了用于网络传输的数据迁移策略和预存储的数据迁移策略,并给出了合适的应用场景。在此基础上,为了灵活地控制接入网的传输和存储的平衡,提出了一种基于网络性能的数据迁移策略,以保证服务的实时响应。

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