FOG SIMULATION (Performance Analysis)

Introduction of Fog Simulation: Fog computing is the production of data among the cloud and devices in the decentralized computing infrastructure. In addition, it is also called fogging and fog networking.

Major Uses in Fog

           Hereby, we have listed down the significant uses in the Fog Simulation

  • It is used to generate the low latency network connection among the devices and the endpoints and this infrastructure is used to decrease the bandwidth which is in contrast to the cloud
  • Even though it decreases the latency level, it can finalize the decision as much as possible

Notable Modules in Fog Simulation

           Let us discuss the modules in Fog Computing with their functions which is more important in the research process and it is helpful for the research scholars

Modules with its Uses

  • Edge and Fog Processing Module
    • It is used to reduce the latency and increase the efficiency of the network
    • It is used to decrease the data while transmitting the huge amount of networks in the fog and edge computing

Significant Plugins in Fog Computing

           Our research experts have listed down the substantial plugins in Fog Simulationwith their own functions

Plugins and their Uses

  • J Unit
    • It is based on the testing framework and utilized to examine Java-related applications. Additionally, the Java development kit has to be authenticated before the installation of J unit
  • Json Simple
    • It is used for the execution of Json encoders and decoders in Java
    • It considers the ability of the transmission among the CDL, HTT{ headers, JSON and XML, Coolies and etc

Vital Classes in Fog Computing

           We have just explained the major class library of Fog Simulation below but the research students can use numerous such libraries. We can provide in-depth analysis and implementation support for the selected library

Classes with its Uses

  • Cloudlet Class
    • It is used for the simulation process over the cloudsim simulation engine and it is an easy task
    • It can be implemented in the cloudsim during the process of simulation
  • Cloudlet Scheduler Class
    • It is based on the policy of scheduling performance using virtual machines and it is used for the execution of the interface of cloudlet management

Tools Integrated into Fog Computing

           Fog Computing has been integrated with the below mentioned tools. These are just sample tools for reference purposes; but research scholars can contact us to get more details about other such tools

Tools and its Purposes

TOSSIM Simulator in Wireless Fog Computing

  • It permits the users to test, analyze and debug the algorithms to regulate the environment
  • It is a distinct simulator to the TinyOS simulator and it can replace the functions of the TinyOS application


  • It is an uncomplicated Java tool kit to JSON and it is utilized for the decode and encode functions

Software Requirements in Fog Computing

           Below are fundamental programming languages used in Fog Computing, scholars can choose any scripting language and can get our comprehensive guide for the research project implementation

Programming Languages in Fog Computing

  • Nesc Programming language
  • It is the expanded form of C programming language

The basic operating system requirement of Fog Simulation is listed below. Research scholars can reach our technical expert for configuration support

Fog Simulation Research Topics

OS Support in Fog Computing

  • Source Model: Open Source
  • OS Family: Embedded Operating System
  • Operating System: TinyOS

           The following is the versions used for Fog Computing, similarly, research scholars can opt for various tools and get complete details about it by reaching our research experts

Versions in Fog Computing

  • Development Kit: JDK1.8
  • NetBeans 8.2
  • Database: My-Sql-5.1.36

Noticeable Protocols in Fog Computing

The noteworthy protocols are listed below for quick reference but there are different protocols that can be implemented in Fog Computing Simulation based projects. We are here to help you to collect the best protocol for your project implementation

  • Carrier Sense Multiple Access (CSMA) Protocol
    • It is a stable transmission probability to regulate the data transmission when the highly changeable environment in the network take over the additional energy consumption
  • Fog Blockchain Protocol
    • It is used to simulate the various integration environments of FC and BC. In addition, it considers the main involvements such as the algorithms, FC and BC systems, modules, and the execution tactics

Topical Subjects in Fog Computing

           Research scholars can get an idea about major subject areas in Fog Computing for their research by referring below but scholars can get more such research ideas by just contacting us

  • Fog Computing
  • Fog and Boundary Layers Cloud
  • Fog Computing Digital Era
  • Fog Ratio Access Network

Substantial Parameters in Fog Simulation

Below are parameters and metrics which define the overall output of the Fog Computing projects

  • Random variable
  • Data Size
  • Constriction Factor
  • Number of Terminal Devices
  • Transmission Power
  • Intertie Weight Factor
  • Number of Fog Nodes
  • Link Bandwidth
  • Accelerate Factor
  • Computing Intensity
  • Ideal Power

Topmost Subjects in Fog Computing

           Researchers should be aware of all the subject-based modules of Fog Computing and we offer complete support for research students to understand and implement each module under Fog Simulation. For your reference, we have just listed the major modules used

  • Cloud App Service Broker
  • Dynamic Service Broker
  • Best Response Time Service Broker

Task Scheduling Syntax in Fog Computing

 For your ease, we have highlighted the key syntaxes in the Fog Computing

  • It starts with the parameters such as ar, wt, bt, n, ct and tid
  • The essential virtual machines are designed to collect the particular about the VM
  • To insert the cloudlets with the list using the cloudlet creator
  • Using the task scheduling, the energy level, task id, and waiting time all are collected
  • End of the code

Key Applications in Fog Computing

           We have enlisted a few major applications which exploit Fog Simulation and they are listed below

  • Smart Grids
  • Smart Cities
  • Linked Vehicles

Topical Algorithms in Fog Computing

           Listed below are some algorithms used in recent Fog Computing-based applications but we offer support for all types of algorithms to provide efficient and required results

  • Weighted Round Robin (WRR) Algorithm
  • To create the structure of IoT, the fog simulator is used along with the concept of FC
  • It is used for the implementation process from a fog node to a further fog node in the cloud

Foremost Areas in Fog Computing

           We have listed the most topical research areas here for research scholars to get a quick grasp of the subject of Fog Computing

  • Financial Institutions
  • Self Driven or Self Driven Vehicles

Primary Metrics in Fog Simulation

           Generally, the metrics are involved in the evaluation process of Fog Computing research projects. Here, we have listed down the notable metrics

  • Efficient Energy Consumption
  • Latency
  • Maximal Network Utilization
  • Amount of Data Used

Notable Process in Fog Computing

           Let us discuss the significant process used in the Fog Simulation

  • Network topology is generated with the micro, mini and central clouds, open virtual switches, and UE nodes
  • Through the switches, the whole UE nodes are linked with the micro clouds
  • The micro cloud cluster is created
  • The incoming tasks are diverted to the central cloud
  • Metrics are evaluated

Extensive Steps in Fog Computing

           Our research experts have listed down the step involved in the process of the Fog SimulationFirstly, the network environment is generated with the mini, micro, and central cloud

  • The micro clouds are created by the transformation of data with the user node
  • When the maximum capacity is reached then the mini and central cloud is moved
  • Performance metrics evaluation

Parameters Analyzed in Fog Computing

           The notable parameters are used in the evaluation process of Fog Computing the parameters such as quality of service (QoS) and quality of experience (QoE)

QoS in Fog Computing

  • Resource Block RB (Resource Block)
  • Average Throughput
  • Network Usage
  • Average Delays

QoE in Fog Computing

  • Resource estimation

Routing Process in Fog Simulation

           Here, we have listed down the significant routing process in the Fog Computing

  • Spanning Tree Routing Protocol
    • It is utilized for the routing and data collection
    • It is used to create fast transmission and communication among the users

Recent Project Topics in Fog Computing 

           Let’s discuss the current project titles in the Fog Computing

  • QoS Aware Resource Allocation and VM Migration
    • We implement the VM migration within DC. Here, an optimal DC is a select VM which is done by executing the Particle swarm optimization algorithm considering the metrics as a current load of hosts, Migration time, and available resources                    
  • Optimized Secure Fog Processing Capability
    • Already we have registered the user details like username and password. Here we check the entered user as authenticated or invalid based on the optimized security for processing  
  • Fog Simulation Advanced QOS Provisioning
    • The tasks are classified by using the Task Nature-Based Multiclass Neural Network with considering the Login Credentials, Email ID, Password, Types of Services, QoS (Jitter and Throughput)  
  • Adaptive Resource Balancing for Serviceability
    • We consider the resource balancing for sensitive service schedules first and then schedule the non-sensitive service request

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