Jun Guo, Qun Ma, Qingmin Ma, Yongming Yan, Qingliang Han
언어
영어(ENG)
URL
https://www.earticle.net/Article/A230262
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
In the cloud computing environment, according to the predicting average response time of service, it can adjust to the follow-up system, so that the response time of the system is acceptable. The traditional methods of predicting average response time of serve mainly include the method of gray predicting and neural network model, but the two methods face several problems, such as longer processing time and unsuitable to larger volatility data. According to the above problems, the paper proposes the method of predicting average response time of cloud service based on the MGM (1, N) - BP neural network, the combination of two methods of predicting can use less sample information, it can get a high precision of predicting result and it can also predict the volatile system. Experimental results show the feasibility and effectiveness of the method.
목차
Abstract 1. Introduction 2. The Predicted Process 3. The Predicted Model 4. The Experimental Results 4.1. Experimental Environment 4.2. Experimental Process and Results Analysis 5. Conclusion and Outlook Acknowledgements References
키워드
MGM(1N) -BP neural networkcloud servicethe average response timethe predicting method
저자
Jun Guo [ Northeastern University; Software Testing Center of Shandong Province ]
Qun Ma [ Northeastern University; Software Testing Center of Shandong Province ]
Qingmin Ma [ Northeastern University; Software Testing Center of Shandong Province ]
Yongming Yan [ Northeastern University; Software Testing Center of Shandong Province ]
Qingliang Han [ Northeastern University; Software Testing Center of Shandong Province ]
보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Grid and Distributed Computing
간기
격월간
pISSN
2005-4262
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing Vol.7 No.2