List of Articles Fog Computing

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  1 - Proposing a New Framework to Decreasing Delay in the Internet of Things by Using Computing Power of Fog
  Mohammad Taghi Shaykhan kianoosh azadi
  20.1001.1.27170414.1400.13.47.2.8
  As the Internet of Things (IoT) expands and becomes more widespread, we will soon see the dependence of human life on its services. At that time, it would be difficult to imagine the survival without the IoT, and disruption of its services would cause great loss of life More

  As the Internet of Things (IoT) expands and becomes more widespread, we will soon see the dependence of human life on its services. At that time, it would be difficult to imagine the survival without the IoT, and disruption of its services would cause great loss of life and property. Disruption of IoT services can occur for two reasons: network errors due to congestion, collision, interruption and noise, and disruption due to the malicious activities of infiltrator. Also, the destructive activities of infiltrators can lead to various cyber attacks and violation of the privacy of individuals. Therefore, before the interdependence between human life and IoT, it is necessary to consider measures to ensure the quality and security of service and privacy. In this study, a solution to reduce service delay (improve quality) and ensure security and privacy of things by relying on the computing power of nodes available in the Fog Layer has been proposed. The proposed solution simultaneously improves service quality and maintains security and privacy. Other features of presented algorithm in proposed solution of fairness between objects are in terms of the quality of service received and minimizing overhead processing and transfer of expired packages (packages that will certainly experience a consumedly threshold delay). Adherence to fairness ensures that the quality of service of any of the things does not be a subject of the reduction of the delay of the service of the entire network; These aforementioned objects may be subjects of critical applications, such as health. Manuscript profile
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  2 - Priority based Deployment of IoT Applications in Fog
  Masomeh Azimzadeh Ali Rezaee Somayyeh  Jafarali Jassbi MohammadMahdi Esnaashari
  Fog computing technology has emerged to respond to the need for modern IoT applications for low latency, high security, etc. On the other hand, the limitations of fog computing such as heterogeneity, distribution, and resource constraints make service management in this More

  Fog computing technology has emerged to respond to the need for modern IoT applications for low latency, high security, etc. On the other hand, the limitations of fog computing such as heterogeneity, distribution, and resource constraints make service management in this environment challenging. Intelligent service placement means placing application services on fog nodes to ensure their QoS and effective use of resources. Using communities to organize nodes for service placement is one of the approaches in this area, where communities are mainly created based on the connection density of nodes, and applications are placed based on a single-criteria prioritization approach. This leads to the creation of unbalanced communities and inefficient placement of applications. This paper presents a priority-based method for deploying applications in the fog environment. To this end, balanced communities are created and applications are placed in balanced communities based on a multi-criteria prioritization approach. This leads to optimal use of network capacities and increases in QoS. The simulation results show that the proposed method improves deadline by up to 22%, increases availability by about 12%, and increases resource utilization by up to 10%. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  3 - Community-Based Multi-Criteria Placement of Applications in the Fog Environment
  Masomeh Azimzadeh Ali Rezaee Somayyeh  Jafarali Jassbi MohammadMahdi Esnaashari
  Fog computing technology has emerged to respond to the need for modern IoT applications for low latency, high security, etc. On the other hand, the limitations of fog computing such as heterogeneity, distribution, and resource constraints make service management in this More

  Fog computing technology has emerged to respond to the need for modern IoT applications for low latency, high security, etc. On the other hand, the limitations of fog computing such as heterogeneity, distribution, and resource constraints make service management in this environment challenging. Intelligent service placement means placing application services on fog nodes to ensure their QoS and effective use of resources. Using communities to organize nodes for service placement is one of the approaches in this area, where communities are mainly created based on the connection density of nodes, and applications are placed based on a single-criteria prioritization approach. This leads to the creation of unbalanced communities and inefficient placement of applications. This paper presents a priority-based method for deploying applications in the fog environment. To this end, balanced communities are created and applications are placed in balanced communities based on a multi-criteria prioritization approach. This leads to optimal use of network capacities and increases in QoS. The simulation results show that the proposed method improves deadline by up to 22%, increases availability by about 12%, and increases resource utilization by up to 10%. Manuscript profile