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QoS Aware Replica Control Strategies for Distributed Real Time Database Management System

机译:QoS意识到分布式实时数据库管理系统的副本控制策略

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In distributed real time database management system (DRT-DBMS), QoS aware replication control strategy is necessary to ensure availability and to improve the system performance. Since user request and need of data is dynamic in nature, it requires an approach which addresses the problem of data distribution and also resolves them in DRT-DBMS. A large quantity of data file is produced so we need a dynamic replication approach through which we can reduce the data access time. In order to replicate it, at the nearest site, replica placement and replacement algorithms are required to be evaluated. This paper presents a heuristic approach Greedy-Cover Firefly algorithm in which replica is placed dynamically based on QoS requirement and replaced with the optimal adaptive replica replacement algorithm for each data object. The replication cost required for copying data object to each set of a node is calculated to select the optimal node. Here, the replication decision is taken on the basis of access history of data on multiple sites. Due to the limited storage capacity of each node, the value of each file is calculated, and the file with the smallest value is removed to replace other files. A detailed simulation shows that the proposed algorithms can greatly improve the system performance to reduce the system resources consumed with respect to time and QoS requirement.
机译:在分布式实时数据库管理系统(DRT-DBMS)中,QoS感知复制控制策略是确保可用性和提高系统性能的必要条件。由于用户请求和对数据的需求是动态的,因此它需要一种解决数据分布问题的方法,并且还在DRT-DBMS中解析它们。产生大量数据文件,因此我们需要一种动态复制方法,我们可以通过它来减少数据访问时间。为了复制它,在最近的站点处,需要评估副本放置和替换算法。本文提出了一种启发式方法贪婪封面萤火虫算法,其中副本基于QoS要求动态放置,并用每个数据对象的最优自适应副本替换算法替换。计算将数据对象复制所需的复制成本计算为节点的每组节点以选择最佳节点。这里,基于多个站点上的数据的访问历史来拍摄复制决策。由于每个节点的存储容量有限,计算每个文件的值,删除具有最小值的文件以替换其他文件。详细仿真表明,所提出的算法可以大大提高系统性能,以减少关于时间和QoS要求消耗的系统资源。

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