摘要: 大数据时代的到来,使得对云存储产生了强烈的需求。云存储性能评测一直是云存储系统研究的热点与难点。通过分析典型云存储平台数据访问的过程,建立云存储数据读写的模型,利用网络分析工具iptools获得云存储系统在处理用户访问请求的各个阶段的时间开销,从中排除网络干扰,反映真正云存储系统数据读写性能。实验结果表明,这种云存储系统数据读写模型是科学合理的,按照模型设计的云存储系统性能评测方法能够有效排除网络干扰,获取反映云存储系统真正读写性能的数据。
[1] Agarwal D,Prasad S K.Azurebench.Benchmarking the storage services of the Azure Cloud Platform[C]∥Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW),2012IEEE 26th International.IEEE,2012:1048-1057 [2] Benefico S,Gjeci E,Gomarasca R G,et al.Evaluation of theCAP Properties on Amazon SimpleDB and Windows Azure Table Storage[C]∥Symbolic and Numeric Algorithms for Scientific Computing (SYNASC),201214th International Sympo-sium on.IEEE,2012:430-435 [3] Neumann R,Taggeselle S,Dumke R,et al.Combining QueryPerformance with Data Integrity in the Cloud:A Hybrid Cloud Storage Framework to Enhance Data Access on the Windows Azure Platform[C]∥Cloud Computing (CLOUD),2012IEEE 5th International Conference on.IEEE,2012:518-525 [4] Ramanathan S,Goel S,Alagumalai S.Comparison of Cloud database:Amazon’s SimpleDB and Google’s Bigtable[C]∥Recent Trends in Information Systems (ReTIS),2011International Conference on.IEEE,2011:165-168 [5] Wang H,Shea R,Wang F,et al.On the impact of virtualizationon Dropbox-like cloud file storage/synchronization services[C]∥Proceedings of the 2012IEEE 20th International Workshop on Quality of Service.IEEE Press,2012:11 [6] Baidu PCS.http://developer.baidu.com/wiki/index.php?title=docs/pcs [7] 金山Kuaipan.http://www.kuaipan.cn/developers/document.htm |
No related articles found! |
|