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논문검색

An Extended Approach based on Genetic Algorithm for Multi-Tenant Data Management

초록

영어

In recent years, the applications of cloud computing technology has been increased significantly. Multi-tenant property of cloud computing allows data sharing between clients. The multi-tenant data management system breaks the cost of hardware, software and professional services among a large number of tenants and thus reduces per-tenant cost. A multi-tenant database system should provide high performance with small storage space and excellent scalability. One major challenge is to reach a database scheme with high-quality. In this paper, we offer a compatible ADAPTED database schema based on genetic algorithms, and compare it with similar schema. Simulation results show that the proposed approach (GA-ADAPT) besides considering criteria of quality of service, provides higher performance comparing the previous ones in terms of selection time of the important features and the average response time to the tenants.

목차

Abstract
 1. Introduction
 2. Related Works
 3. The Proposed Approach
 4. Performance Evaluation
  4.1. Evaluation of First Scenario
  4.2. Evaluation of Second Scenario
  4.3. Evaluation of Third Scenario
  4.4. Evaluation of Fourth Scenario
  4.5. Total Evaluation
 5. Conclusion and Further Work
 References

저자정보

  • Reyhaneh Kheiri Department of Computer Engineering, Mahallat Branch, Islamic Azad University, Iran
  • Alireza Taghizadeh Department of Computer Engineering, Parand Branch, Islamic Azad University, Iran
  • Elaheh Kheiri Department of Computer Engineering, Mahallat Branch, Islamic Azad University, Iran
  • Mostafa Ghobaei Arani Department of Computer Engineering, Mahallat Branch, Islamic Azad University, Iran

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