首页    期刊浏览 2024年11月30日 星期六
登录注册

文章基本信息

  • 标题:Optimizing Resource Consumption in Computational Cloud Using Enhanced ACO Algorithm
  • 本地全文:下载
  • 作者:Preeti Kushwah ; Dr. Abhay Kothari
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:2
  • 页码:1547-1551
  • 出版社:TechScience Publications
  • 摘要:The need of efficient computing is increasing day by day. In order to satisfy this need, various technologies are invented and implemented in recent years. Cloud and grid computing are few of the most popular effort amongst them. Cloud computing is a hardware and software infrastructure which offers high performance computing, data storage and resource distribution. Additionally, it also provides various hardware and software services. The cloud infrastructure has two critical issues, firstly privacy and security, and secondly the resource planning and management. In this work resource management is taken as primary issue. That is a software level conflict, which takes place when more than two jobs are looking for the same resources and both are unsatisfied with the existing one. Thus in order to manage such condition, resource scheduling algorithm is utilized. In order to simulate the issue and solution, a simulation using the Cloud Sim is developed. In which first default time shared and memory shared techniques are implemented. Afterward for optimizing more the scheduling is prepared using BPN and traditional ACO algorithm. After implementing them, we observed that resource scheduling is an optimization problem thus ACO algorithm is slightly modified. Finally, the performances of all implemented algorithms are compared in terms of time and space complexity and their scheduling performance. Among them proposed algorithm found optimum and delivers high performance resource allocation.
  • 关键词:Cloud Computing; Resource Scheduling; Virtual;Machine; Ant Colony Optimization Algorithm and CloudSim;Tool.
国家哲学社会科学文献中心版权所有