원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
Vol.8 No.2
2015.04
pp.319-330
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In order to meet the requirements for data access by tenants and management by service providers, the multi-tenant data stored in cloud using replica technology must be reasonably placed. For the outweight nodes and the ultra light nodes, according to characteristics of the multi-tenant data and the load of nodes, through adjusting the number and position of the replicas to maintenance and optimization the strategy so that meet the SLA requirements meanwhile minimize the overall cost. Experimental results through comparison with random placement strategy and greedy placement policy demonstrate the feasibility and effectiveness of the proposed strategy.
목차
Abstract
1. Introduction
2. Related Works
3. Problem Description and Modeling
4. Optimization Adjustment Strategies and Algorithms for SaaS Multi-tenant Data Placement
4.1. The Initial Placement Stage
4.2. The New Data Placement Stage
4.3. The Optimization Adjustment Stage
4.4 The Analysis of the Algorithm Complexity
5. Experiments and Results Analysis
5.1. Experimental Setup
5.2. Results and Analysis
6. Conclusions and Future Work
Acknowledgements
References
1. Introduction
2. Related Works
3. Problem Description and Modeling
4. Optimization Adjustment Strategies and Algorithms for SaaS Multi-tenant Data Placement
4.1. The Initial Placement Stage
4.2. The New Data Placement Stage
4.3. The Optimization Adjustment Stage
4.4 The Analysis of the Algorithm Complexity
5. Experiments and Results Analysis
5.1. Experimental Setup
5.2. Results and Analysis
6. Conclusions and Future Work
Acknowledgements
References
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