It has always been a key topic in the current research how to make rational resource scheduling in the cloud computing environment. In this paper, the status of cloud computing resources is first analyzed, to point out the existing problems, and then combined with the characteristics of resource scheduling in cloud computing, the Shuffled Frog Leaping Algorithm is introduced. First, in its stage of subgroups classification, the chaos strategy is introduced and in the internal search the positive learning strategy is introduced, which makes the improved frog leaping algorithm gain good convergence, reduces the time of global search and optimization. Through the CloudSim platform, it shows that this algorithm can improve the efficiency of task processing and make the resource scheduling in cloud computing rational and effective.
목차
Abstract 1.Introduction 2. The Main Issues of Cloud Computing Resources 2.1 The Current Status of Cloud Computing Resources 2.2 The Service Quality in Cloud Computing 3. Shuffled Frog Leaping Algorithm 4. Improved Shuffled Frog Leaping Algorithm 4.1 The Content Improved 4.2 Improved Algorithm Flow 5. Experimental Simulation 5.1 Performance Test for the Algorithm 5.2 Cloud Computing Simulation Platform 6. Conclusion References
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.8 No.1