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Using data mining techniques to improve replica management in cloud environment
Soft Computing ( IF 4.1 ) Pub Date : 2019-09-17 , DOI: 10.1007/s00500-019-04357-w
N. Mansouri , M. M. Javidi , B. Mohammad Hasani Zade

Effective data management is a crucial problem in distributed systems such as data grid and cloud. This can be achieved by replicating file in a wise manner, which reduces data access time, increases data availability, reliability and system load balancing. Determining a reasonable number and appropriate location of replicas is essential decision in cloud computing. In this paper, a new dynamic replication strategy called Data Mining-based Data Replication (DMDR) is proposed, which determines the correlation of the data files accessed using the file access history. We focus particularly on how extracted knowledge with maximal frequent correlated pattern mining improves data replication. We can group files with high dependency in the same replica set. Through the DMDR strategy, replicas can be stored in the suitable locations, with reduced access latency according to the centrality factor. In addition, due to the finite storage space of each node, replicas that are useful for future tasks can be wastefully deleted and replaced with less beneficial ones. Results of simulation using CloudSim indicate that DMDR strategy has a relative advantage in effective network usage, average response time, hit ratio in comparison with current methods. It can be concluded from this investigation that data mining technique is effective and helpful in the finding of users’ future access behavior in cloud environment.



中文翻译:

使用数据挖掘技术改善云环境中的副本管理

有效的数据管理是分布式系统(如数据网格和云)中的关键问题。这可以通过以明智的方式复制文件来实现,这可以减少数据访问时间,增加数据可用性,可靠性和系统负载平衡。在云计算中,确定副本的合理数量和适当位置是至关重要的决定。在本文中,提出了一种新的动态复制策略,称为基于数据挖掘的数据复制(DMDR),该策略确定使用文件访问历史记录访​​问的数据文件的相关性。我们特别关注具有最大频繁相关模式挖掘的提取知识如何改善数据复制。我们可以在同一副本集中将具有高依赖性的文件分组。通过DMDR策略,可以将副本存储在合适的位置,根据中心性因素降低访问延迟。另外,由于每个节点的存储空间有限,可对将来的任务有用的副本被浪费地删除,并用效益较低的副本代替。使用CloudSim进行的仿真结果表明,与现有方法相比,DMDR策略在有效网络使用,平均响应时间,命中率方面具有相对优势。从这项调查可以得出结论,数据挖掘技术在发现用户在云环境中的未来访问行为方面是有效且有帮助的。使用CloudSim进行的仿真结果表明,与现有方法相比,DMDR策略在有效网络使用,平均响应时间,命中率方面具有相对优势。从这项调查可以得出结论,数据挖掘技术在发现用户在云环境中的未来访问行为方面是有效且有帮助的。使用CloudSim进行的仿真结果表明,与现有方法相比,DMDR策略在有效网络使用,平均响应时间,命中率方面具有相对优势。从这项调查可以得出结论,数据挖掘技术在发现用户在云环境中的未来访问行为方面是有效且有帮助的。

更新日期:2020-04-22
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