...
首页> 外文期刊>Distributed and Parallel Databases >An object replication algorithm for real-time distributed databases
【24h】

An object replication algorithm for real-time distributed databases

机译:实时分布式数据库的对象复制算法

获取原文
获取原文并翻译 | 示例
           

摘要

A real-time distributed database system (RTDDBS) must maintain the consistency constraints of objects and must also guarantee the time constraints imposed by each request arriving at the system. Such a time constraint of a request is usually defined as a deadline period,which means that the request must be serviced on or before its time constraint. Servicing these requests may incur I/O costs, control-message transferring costs or data-message transferring costs. As a result, in our work, we first present a mathematical model that considers all these costs. Using this cost model, our objective is to service all the requests on or before their respective deadline periods and minimize the total servicing cost. To this end, from theoretical standpoint, we design a dynamic object replication algorithm, referred to as Real-time distributed dynamic Window Mechanism (RDDWM), that adapts to the random patterns of read-write requests. Using competitive analysis, from practical perspective, we study the performance of RDDWM algorithm under two different extreme conditions, i.e., when the deadline period of each request is sufficiently long and when the deadline period of each request is very short. Several illustrative examples are provided for the ease of understanding.
机译:实时分布式数据库系统(RTDDBS)必须维护对象的一致性约束,并且还必须保证每个到达系统的请求所施加的时间约束。请求的这种时间限制通常被定义为截止期限,这意味着该请求必须在其时间限制之内或之前得到服务。为这些请求提供服务可能会产生I / O成本,控制消息传输成本或数据消息传输成本。因此,在我们的工作中,我们首先提出一个考虑所有这些成本的数学模型。使用此成本模型,我们的目标是在各自的截止日期或之前为所有请求提供服务,并最大程度地减少总服务成本。为此,从理论上讲,我们设计了一种动态对象复制算法,称为实时分布式动态窗口机制(RDDWM),该算法可适应读写请求的随机模式。从实践的角度出发,使用竞争性分析,我们研究了RDDWM算法在两种不同的极端条件下的性能,即每个请求的截止时间足够长而每个请求的截止时间很短时。为了便于理解,提供了几个说明性示例。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号