Dynamic replication algorithms for the multi-tier Data Grid

被引:74
作者
Tang, M [1 ]
Lee, BS [1 ]
Yeo, CK [1 ]
Tang, XY [1 ]
机构
[1] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2005年 / 21卷 / 05期
关键词
replication; Data Grid; distributed system; simulation; performance;
D O I
10.1016/j.future.2004.08.001
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Data replication is a common method used to improve the performance of data access in distributed systems. In this paper, two dynamic replication algorithms, Simple Bottom-Up (SBU) and Aggregate Bottom-Up (ABU), are proposed for the multitier Data Grid. A multi-tier Data Grid simulator called DRepSim is developed for studying the performances of the dynamic replication algorithms. The simulation results show that both algorithms can reduce the average response time of data access greatly compared to the static replication method. ABU can achieve great performance improvements for all access patterns even if the available storage size of the replication server is very small. Comparing the two algorithms to Fast Spread dynamic replication strategy, ABU proves to be superior. As for SBU, although the average response time of Fast Spread is better in most cases, Fast Spread's replication frequency is too high to be applicable in the real world. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:775 / 790
页数:16
相关论文
共 18 条
[1]  
[Anonymous], 2002, P 2002 ACM IEEE C SU
[2]  
[Anonymous], 2003, J. Grid Comput, DOI DOI 10.1023/A:1024035627870
[3]  
[Anonymous], 1949, Human behaviour and the principle of least-effort
[4]   OptorSim: A grid simulator for studying dynamic data replication strategies [J].
Bell, WH ;
Cameron, DG ;
Capozza, L ;
Millar, AP ;
Stockinger, K ;
Zini, F .
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2003, 17 (04) :403-416
[5]  
Breslau L, 1999, IEEE INFOCOM SER, P126, DOI 10.1109/INFCOM.1999.749260
[6]  
CAPILUPPI P, 2000, CMS WORLD WIDE COMPU
[7]   The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets [J].
Chervenak, A ;
Foster, I ;
Kesselman, C ;
Salisbury, C ;
Tuecke, S .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2000, 23 (03) :187-200
[8]  
Foster I, 1999, GRID BLUEPRINT NEW C
[9]  
Holtman K., 2001, 2001037 CERN
[10]  
Hoschek W, 2001, LECT NOTES COMPUT SC, V1971, P77