Earticle

초록

영어

Nowadays cloud computing has turned into a key innovation and has become a great solution for indulging a flexible utility oriented , online allocation and storage of computing resources and client’s information in lower expense, on- interest and dynamically scalable framework on pay per use premise. This technology is a new pattern emerging in IT environment with immense necessities of framework and resources. Job Scheduling Problem is an essential issue. For efficient usage and managing resources, administrations, scheduling plays a critical role. This paper apportion the performance enhancement of Hyper- Heuristic Scheduling Approach to schedule cloudlets and resources, by taking account of both , computation time and transmission cost with two detection operators. Load Balancing and RASA concept is applied for efficient Load Scheduling, resource utilization and thereby enhancing the overall performance of cloud computing environment. The numerical investigations of HHSA were performed on CloudSim. Experimental results generated via simulation shows that enhanced heuristic scheduling approach is much better than individual heuristic approach in terms of minimizing makespan time.

목차

Abstract
 1. Introduction
 2. Scheduling in Cloud
 3. Job Scheduling Problem
 4. Hyper-Heuristics
 5. Prior Work
 6. The Proposed Work
 7. Experiments and Results
  7.1. Problem Formulation
  7.2. Simulation and Analyses
 8. Conclusion and Future Scope
 References

키워드

저자

• Geetinder kaur [ Department of Computer Engineering & Technology CTITR Maqsudan Jalandhar, Punjab, India ]
• Sarabjit kaur [ Department of Computer Engineering & Technology CTITR Maqsudan Jalandhar, Punjab, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605