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Abstract
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Article Information:
Multi-tenant Data Migration Strategy in SaaS Platform
Yongqing Zheng, Xiaojun Ren and Lanju Kong
Corresponding Author: Yongqing Zheng
Submitted: March 01, 2013
Accepted: October 19, 2013
Published: March 29, 2014 |
Abstract:
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On demand migration of tenants’ data is a critical technology for elastic load balancing in SaaS application. However, different tenants have different required resource with various SLA requirements. Moreover, previously reported migration techniques are not tenant aware. To study the elastic load balancing of tenants’ data, we mainly focus on the problem of when to migrate which tenants’ data in a muti-tenant shared DB server and build a new framework that aims to monitor load and minimize migration cost. We establish a demand resource estimation model to decide when to migration and then create a cost model to guide the choice of possible migration tenants. The simulation experimental results show the high effectiveness and the good efficiency of our model.
Key words: Demand resource estimation, elastic load balancing, migration, SaaS, SLA, ,
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Cite this Reference:
Yongqing Zheng, Xiaojun Ren and Lanju Kong, . Multi-tenant Data Migration Strategy in SaaS Platform. Research Journal of Applied Sciences, Engineering and Technology, (12): 2421-2426.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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