Earticle

초록

영어

Current trends in software system, such as cloud and big data platform, are leading to rapid and continuing changes. At the same time, these systems will have to react to these changes at runtime to satisfy the potential Quality of Service (QoS). Self-adaptation is recognized as a practical way for a software system to meet QoS requirements. The Development of self-adaptive software is generally more challenging and more difficult due to their high complexity. To address these challenges, this paper reviews the related research of self-adaptive software system and reports a case study that investigates a self-adaptive concurrency controller for database system. Through the case we illustrate how to develop a self-adaptive software system. Compared with other traditional method, the experimental results demonstrate that our self-adaptive controller can effectively improve the database performance by adjusting the MPL value based on workload changes and QoS requirements. Finally some future trends in this area are prospected and discussed.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. Self-adaptive Software System
  2.2. QoS-Driven Adaptation
  2.3. Adjusting MPL
 3. Case Study
  3.1. Requirement Description
  3.2. Workload-Aware System Architecture
  3.3. System Implementation
 4. Evaluation
  4.1. Set up
  4.2. DateSet and Workload
  4.3. Experiments
 5. Conclusions and Future Work
 Acknowledgements
 References

키워드

저자

• Qingfeng Zhang [ College of Computer and Control Engineering,Nankai University,Tianjin, China ]
• Jing Xu [ College of Computer and Control Engineering,Nankai University,Tianjin, China ]
• Chao Zhang [ College of Computer and Control Engineering,Nankai University,Tianjin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605