The computing paradigms have wide applications using communication resources. The traditional computing paradigm and service-oriented computing paradigm have wide applications in real and simulated scenarios. In this manuscript, our primary focus includes the computing paradigm which is the aggregation of cloud and Fog computing paradigms. The aggregated environment including cloud node and Fog nodes which provide the services in a real-time scenario. The real-time scenarios put the demand of the edge node or Fog node for onsite computing and decision-making process. In this manuscript an aggregated architecture is presented and performance is evaluated and analyzed using the performance metrics execution time (ms), execution cost ($), total network utilized, and power consumption (kWh). The performance is evaluated and analyzed using nine scenarios. In all nine scenario edge wards computing environment outperforms the only cloud scenario. Hence the results show that an intelligent surveillance system performs better in an edge computing environment as compare to cloud only scenario.

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Performance Analysis of Intelligent Surveillance System in a Fog Computing Environment

  • Pradeep Singh Rawat,
  • Prateek Kumar Soni,
  • Punit Gupta

摘要

The computing paradigms have wide applications using communication resources. The traditional computing paradigm and service-oriented computing paradigm have wide applications in real and simulated scenarios. In this manuscript, our primary focus includes the computing paradigm which is the aggregation of cloud and Fog computing paradigms. The aggregated environment including cloud node and Fog nodes which provide the services in a real-time scenario. The real-time scenarios put the demand of the edge node or Fog node for onsite computing and decision-making process. In this manuscript an aggregated architecture is presented and performance is evaluated and analyzed using the performance metrics execution time (ms), execution cost ($), total network utilized, and power consumption (kWh). The performance is evaluated and analyzed using nine scenarios. In all nine scenario edge wards computing environment outperforms the only cloud scenario. Hence the results show that an intelligent surveillance system performs better in an edge computing environment as compare to cloud only scenario.