Dynamic adaptive model of the multi-tenant data replication based on queuing theory

Author

Wu Na ; Zhang Shidong ; Kong Lanju ; Zheng Yongqing

Author_Institution

Dept. of Comput. Sci. & Technol., Shandong Univ., Jinan, China

fYear

2012

fDate

29-31 Dec. 2012

Firstpage

1755

Lastpage

1759

Abstract

This Multi-tenant data for SaaS application is not available when the cluster is failure. The replication can guarantee the security of data by increasing redundancy. It also approaches to increase data availability with suitable replication policy. Now replication is in units of physical table, which doesn´t fit to SaaS application in a big sharing wide table. We propose the minimum threshold of replication based on statistic probability of tenants not available, when some nodes in cluster are failure. Moreover, We present a replica adjustment strategy based on queuing theory M/M/S/∞ to respect to variation number of data request from users. The results expose SQMS is better than MQSS through simulation.

Keywords

cloud computing; data handling; queueing theory; replicated databases; SaaS application; data availability; data request; dynamic adaptive model; multitenant data; multitenant data replication; queuing theory; redundancy; replica adjustment strategy; replication policy; statistic probability; multi-tenant; queuing theory; replication policy;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4673-2963-7

Type

conf

DOI

10.1109/ICCSNT.2012.6526260

Filename

6526260