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  • 标题:An Enhanced Cloud Network Load Balancing Approach Using Hierarchical Search Optimization Technique
  • 本地全文:下载
  • 作者:Debabrata Sarddar ; Rajesh Bose ; Sudipta Sahana
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:3
  • 页码:9-20
  • DOI:10.14257/ijhit.2015.8.3.02
  • 出版社:SERSC
  • 摘要:As one of the driving forces changing the way research and industry uses virtualization, distributed computing, internet, software and web services today, cloud computing stands tall. A cloud is an ecosystem of data centers, distributed servers, and clients all interconnected to each other. The unique selling point of a cloud is its reduced cost of ownership in comparison to traditional models. This primary advantage is complemented by fault tolerance, high availability opportunity, scalable and flexible structure, reduced infrastructure overheads for users, and services that can be accessed as and when required. One of the challenges that face cloud computing is load balancing. Load balancing assures optimum use of available resources, thereby, enabling consistency and performance of the overall system. An imbalance of load causes a single node or nodes to operate beyond its optimum levels. As a result, there could be either a gradual or a rapid loss in overall efficiency of the system leading to increase in emission rates and inefficient use of energy. In this paper, we have focused on resourceful load balancing coupled with a technique which reduces flooding. We have discussed how a combination of these is able to ensure efficient routing with reduced carbon emission.
  • 关键词:Cloud computing; static load balancing; dynamic load balancing algorithm; ; honey bee algorithm; packet flooding; search optimization
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