Dynamic Resource Allocation for Load Balancing in Fog Environment
作者: Xiaolong XuShucun FuQing CaiWei TianWenjie LiuWanchun DouXingming SunAlex X. LiuDeepak Puthal
作者单位: 1School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China
2Jiangsu Engineering Centre of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, China
3State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
4Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA
刊名: Wireless Communications and Mobile Computing, 2018, Vol.2018
来源数据库: Hindawi Journal
DOI: 10.1155/2018/6421607
原始语种摘要: Fog computing is emerging as a powerful and popular computing paradigm to perform IoT (Internet of Things) applications, which is an extension to the cloud computing paradigm to make it possible to execute the IoT applications in the network of edge. The IoT applications could choose fog or cloud computing nodes for responding to the resource requirements, and load balancing is one of the key factors to achieve resource efficiency and avoid bottlenecks, overload, and low load. However, it is still a challenge to realize the load balance for the computing nodes in the fog environment during the execution of IoT applications. In view of this challenge, a dynamic resource allocation method, named DRAM, for load balancing in fog environment is proposed in this paper. Technically, a system...
全文获取路径: Hindawi 

  • balance 平衡
  • computing 计算
  • allocation 分配
  • balancing 平衡
  • achieve 达到
  • resource 资源
  • paradigm 范例
  • applications 应用程序
  • challenge 询问
  • execute 履行