期刊文献+

使用MSS维护语义缓存一致性的方法 被引量:5

Maintenance of Semantic Cache Consistency via Mobile Support Station
下载PDF
导出
摘要 传统语义缓存一致性维护算法中存在失效报告空间复杂度高和通信开销大的问题,而目前的研究多只关注客户方算法的改善,不能从根本上解决这些问题.为此,文中提出了基于3层缓存结构的、用移动支持站点协助客户方进行缓存一致性维护的方法.通过建立索引表并运用比特序列方法形成失效报告,以达到进一步压缩报告长度的效果;使用队列存储更新序列对更新粒度进行细化及简化客户方缓存维护过程,从而节省网络带宽,支持频繁断接下的缓存一致性维护.仿真结果表明,该算法较其它算法明显减少了失效报告长度和一致性维护的网络通信开销. The traditional algorithms of semantic cache consistency maintenance are of enormous data communication cost and space complexity of invalidation report.However,most of the current researches mainly focus on the client's algorithms and are unable to solve the above-mentioned problems radically.In this paper,a novel method of semantic cache consistency maintenance with a three-layer cache structure is proposed,which uses the mobile su-pport station(MSS) to store mobile client's semantic cache items.Then,the corresponding index table is presented and an invalidation report is created based on the bit sequence to further shorten the report length.Finally,the updating sequence is stored in a queue and is used to refine the updated granularity and simplify the consistency maintenance from clients,thus saving the network bandwidth and supporting the cache consistency maintenance in the condition of frequent network disconnection.Simulated results show that the proposed algorithm remarkably reduces the invalidation report size and saves the data communication cost for consistency maintenance.
作者 梁茹冰 刘琼
出处 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第7期127-133,共7页 Journal of South China University of Technology(Natural Science Edition)
基金 国家“973”计划项目(2007CB07100,2007CB07106)
关键词 移动计算 移动支持站点 语义缓存 失效报告 粒度细化 mobile computing mobile support station semantic cache invalidation report granularity refining
  • 相关文献

参考文献10

  • 1Dar S, Franklin M, Jonsson B, et al. Semantic data caching and replacement [ C ] //Proceedings of the 22nd VLDB Conference. Mumbai: Morgan Kaufmann Pub Inc, 1996 : 330-341.
  • 2Ren Qun, Dunham M H. Using semantic caching to ma- nage location dependent data in mobile computing [ C ]// Proceedings of the 6th Annual International Conference on Mobile Computing and Networking. New York :ACM ,2000 : 210-221.
  • 3Ren Qun, Dunham M H, Kumar V. Semantic caching and query processing [ J]. IEEE Transactions on Knowledge and Data Engineering,2003,15 ( 1 ) : 192-210.
  • 4吴婷婷,周兴铭.基于语义缓存的移动查询导出[J].计算机学报,2002,25(10):1104-1110. 被引量:24
  • 5吴婷婷,苏武运,周兴铭,徐明.移动查询缓存处理的研究[J].计算机研究与发展,2004,41(1):187-193. 被引量:9
  • 6蔡建宇,吴泉源,贾焰,邹鹏.面向聚集查询的语义缓存技术[J].软件学报,2007,18(2):361-371. 被引量:5
  • 7李东,袁应化,叶友,刘振宇.基于属性更新的语义缓存一致性维护算法[J].华南理工大学学报(自然科学版),2009,37(5):139-144. 被引量:6
  • 8Yeung M K H, Kwok Y-K. data access:caching or not? On energy efficient wireless [ C ]//Proceedings of Inter- national Conference on Mobile Ad-hoc and Sensor Net- works. Berlin/Heidelberg : Springer-Verlag, 2005 : 528 - 537.
  • 9Chung Y D. A cache invalidation scheme for continuous partial match queries in mobile computing environments [J]. Distributed and Parallel Databases, 2008,23 ( 3 ) : 207-234.
  • 10Jing J, Elmagarmid A, Helal A, et al. Bit-sequences : an adaptive cache invalidation method in mobile client/ server environments [ J]. Mobile Networks and Applica- tions, 1997,2 (2) : 115-127.

二级参考文献49

  • 1Wan Hai, Li Lei. Design and implementation of semantic caching coherency control scheme toward distributed environment [ C ]/,/Proceedings of the 6th International Workshop on Advanced Parallel Processing Technologies. Hong Kong : Springer, 2005:41 - 51.
  • 2Hao Xiao-wei ,Zhang Tao, Li Lei, et al. Optimized consistence maintenance strategy in semantic caching [ C ] // Proc of IEEE International Conference on Systems, Man and Cybernetics. [S.l. ] : IEEE,2005 : 3 392- 3 397.
  • 3Cao G H. A scalable low-latency cache invalidation strategy for mobile environments [ J ]. IEEE Transactions on Knowledge and Data Engineering, 2003, 15 ( 5 ) : 1 251- 1265.
  • 4Kahol A, Khurana S, Gupta S K S, et al. A strategy to manage cache consistency in a disconnected distributed environment [ J]. IEEE Transactions on Parallel and Distributed Systems ,2001,12 (7) :686-700.
  • 5Ren Qun, Dunham Margaret H, Kumar Vijay. Semantic caching and query processing [ J ]. IEEE Transactions on Knowledge and Data Engineering,2003,15 ( 1 ) : 192-210.
  • 6Wang Z, Das S K, Che H, et al. Scalable asynchronous cache consistency scheme ( SACCS ) for mobile environments [ J ]. IEEE Transactions on Distributed Computing Systems ,2004,15 ( 11 ) :983-995.
  • 7He W, Chen R, Gu B. A proxy-based integrated cache consistency and mobility management scheme for mobile IP systems [ C ] //Proceedings of the 21st International Conference on Advanced Information Networking and Applications. Niagara Falls : IEEE, 2007 : 354- 361.
  • 8[1]DeWitt D, Futtersack P, Maier D, Velez F. A study of three alternative workstation-server architectures for object-oriented database systems. In: Proc the 16th International Conference on Very Large Databases, Brisbane, Australia, 1990. 107-121
  • 9[2]Franklin M, Carey M, Livny M. Local disk caching in client-server database systems. In: Proc the 19th International Conference on Very Large Databases, Dublin, Ireland, 1993. 641-655
  • 10[3]Dar S, Franklin M, Jonsson B et al. Semantic data caching and replacement. In: Proc the 22nd VLDB Conference, Mumbai (Bombay), India, 1996. 330-341

共引文献32

同被引文献58

引证文献5

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部