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Adaptive and Scalable Allocation of Data-Objects in the Web

机译:网络中数据对象的自适应和可伸缩分配

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In this paper we address the problem of designing allocation schemas of large database-objects in a Web environment that may be exposed to significant changes in usage and access patterns and scaling of data. In these circumstances, if the design is not adjusted to the new changes, the system can undergo a severe degradation in data access costs and response time. In order to solve this problem, we propose a formal model to generate a new database-object allocation. The model uses current state information of the system and usage statistical data collected during a given period, and adapts the system to the new usage patterns so as to minimize communication costs. Implicitly the mathematical model handles database-object migration and scaling of the number of sites. Model tests have been conducted with satisfactory and promising results. The principles used in the model can be applied to other models for the optimization of Web resources.
机译:在本文中,我们解决了在Web环境中的大型数据库对象的分配模式的问题,该方法可能会暴露在使用和访问模式的显着变化和数据的缩放。在这种情况下,如果设计未调整到新的变化,系统可以在数据访问成本和响应时间进行严重降级。为了解决这个问题,我们提出了一个正式模型来生成新的数据库对象分配。该模型使用系统的当前状态信息和在给定时期内收集的使用统计数据,并将系统适应新的使用模式,以便最小化通信成本。隐式地,数学模型处理数据库 - 对象迁移和站点数量的缩放。已经以满意和有前途的结果进行了模型测试。该模型中使用的原理可以应用于其他模型以优化Web资源。

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