The current advances in cloud computing layout well established research in Distributed computing, virtualization, web services, utility computing, have provided many advantages in scalability, cost and efficiency for cloud service users. These advantages are further expected to satisfy the demands of cloud users for cloud services in efficient and effective manner. This brings the issue of fault tolerance, scalability, efficiency, high availability. Central to these problems require the dynamic and efficient load balancing techniques. In this paper, we survey a special group of Swarm intelligence based load balancing algorithm and discuss the advantages and issues of these algorithms for cloud computing environment.
목차
Abstract 1. Introduction 2. Issues Related to Swarm Intelligence based Load balancing Algorithms 3. Review of Swarm Intelligence based Load Balancing Algorithms 3.1. Artificial Bee Colony Inspired Load Balancing Algorithms 3.2. Particle Swarm Optimization (PSO) based Load Balancing Algorithms 6. Conclusion and Future Work References
키워드
Cloud computingLoad balancingSwarm Intelligence
저자
Uma Singhal [ Madhav Institute of Technology and Science Gwalior, India ]
Sanjeev Jain [ Madhav Institute of Technology and Science Gwalior, India ]
보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
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 Hybrid Information Technology
간기
격월간
pISSN
1738-9968
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.8 No.1