Introduction of iFogsim Simulator: Both the services for IoT and Fog simulators are managed by the iFogsim. To get the best outcome of the optimization data placement in both Fog and IOT are modeled and simulated using the iFogsim.

Notable Advantages in iFogsim:

Hereby, we have listed down the significant benefits of the iFogsim simulator

  • It helps to reduce the real problems for the users including the customization and interfaces

Significant Modules in iFogsim

           Let us discuss the momentous modules in iFogsim which is useful for the research scholars

Modules with its Purpose

  • Master Module
    • It is used to gather all the sensor data from the various types of sensors and divide the data for the apt modules, for instance, the gas info module receives the gas sensor

Major Plugins in iFogsim

           The following is about the plugins in the iFogsim simulator and it helps to gain in-depth knowledge about the iFogsim

Plugins and their Functions

  • Link
    • Link plays a vital role in the iFogsim specifically in the topology design
  • FogDeviceGui
    • It is useful to design the features of the network topology creation

Substantial Classes in iFogsim Simulator

There are many classes in the system models. Hereby, we have listed down the significant classes in the iFogsim

Classes and their Purposes

  • Actuator
    • It permits to design of the objects in iFogsim which is utilized to demonstrate the information for instance smart car parking

Integrated Tools in iFogsim

We offer a well-experienced research team your research assistance and we provide a detailed description of the tools in the iFogsim  for your ease we have highlighted some tools below

Tools and its Functions

  • Lightweight Location-Aware Fog Framework (Laff)
  • Fognetsim++ – Modeling and Distribution of Fog Environment

System Specifications in iFogsim

For your reference, we have listed down the important programming languages used in the iFogsim simulator

Programming Languages in iFogsim

  • Java

The notable operating system in the iFogsim is are listed below. And we extend our support for your quires

OS Support in iFogsim

  • RAM (e.g., GB)
  • Operating System: Unix
  • Processor performance (MIPS)

The versions in the OFDM simulator are useful for the research scholars to update their knowledge. The versions are

Versions in iFogsim

  • Eclipse 4.14

Major Protocols in iFogsim

           Our research experts are well versed in all the protocols and we provide support for your research protocols. Here, we have listed the significant protocols in the OFDM simulator

  • Authenticated Key Agreement Protocol
  • It is used to create a cryptographic key agreement protocol for interconnecting many parties

Important Subjects in iFogsim Simulator

Hereby, we have listed down the recent subjects in the iFogsim

  • Edge Voice AI Fog Computing
  • Security and Privacy-Based Fog / Edge
  • Smart Sensor and Advanced Nod Fog
  • Network Security

Notable Parameters in iFogsim

For the evaluation process in the research project, parameter plays a significant role. Thus, the research team have provided the iFogsim parameters

  • Application Service Delivery Deadline
  • Cloud Datacenter
  • Data Sensing Interval of the IoT Sensors
  • Fog Cluster
  • Simulation Duration

Key Subjects with Apt Tools in iFogsim

Generally, research scholars have to know more information about each and every subject module in the iFogsim simulator. Thus, we provide complete support for research scholars to gather more knowledge and implement the process of the modules in iFogsim. 

For example, we have highlighted the authentication process based on packages

  • Password
  • Connection
  • Driver Manager

Authentication Syntax in iFogsim

For your reference, the research experts have listed down the significant syntaxes used in the two-tier authentication with the support of iFogsim simulator

  • Step 1
    • User ID and the password plays a vital role in the authentication process because if these two are invalid then there will be the termination
  • Step 2
    • PUF
    • Geolocation
    • User’s Biometric
  • Step 3
    • For the transmission process, BLAKE – 3 hashing technique is used
  • Step 4
    • By using the Elliptic Curve Chaos Theory (ECCT) the secret key for the authentication process is created

Vital Applications in iFogsim Simulator

In iFogsim, there are several applications but we have listed only a few for your reference and the development of the project

  • Sensing as a Service
  • Smart Coal Mining Industry

Notable Algorithms in iFogsim

           Our research experts in iFogsim are well versed in all the algorithms for your ease we have highlighted three algorithms below

  • Novel Bio Inspired Hybrid Algorithm (NBIHA)
  • It is used for the resource management to the solution modification process and it is the hybrid of a modified particle swarm optimization (MPSO) and modified cat swarm optimization (MCSO)

Topical Areas in iFogsim Simulator

We have listed down the most novel research areas and the implementation process in iFogsim for the research scholars to get a quick grasp of the research subject

  • Electric Vehicles (Driving Range Estimation) 
  • Environmental Sensors (Temperature, Moisture and etc) Work Areas
  • VPN Services
  • Home Appliances
  • Cloud Computing Projects

Substantial Metrics in iFogsim

In general, we have listed down the significant metrics in the iFogsim of the evaluation process

  • Makespan
  • Request Success Ratio
  • Failure Rate

Essential Process in iFogsim

           Let us discuss the significant process used in the iFogsim simulator

  • Real-Time Routing Process
  • The developed wireless mesh network is used to symbolize the communication cables and computer sites
  • There are many parameters are added for ensuring diversity and NSGA-II routing algorithm also used
  • The process ends with the best result

Significant Steps in iFogsim Simulator

           Our research professionals in iFogsim have listed down the step involved in the process of the iFogsim

  • To lead the surrounding the cloudsim environment is designed
  • There are less amount of data centers and tasks are available so data centers and tasks are inserted
  • Finally, the data in cloud is visible after the generation of the data centers and tasks
  • End of simulation

Comparative Study in iFogsim

Let us discuss the quality of service which is used to produce the best results in iFogsim simulator

QOS in iFogsim

  • CPU Utilization
  • Network Consumption
  • Execution Cost
  • Network Usage

Hereby, we have highlighted the quality of experience of the iFogsim simulator

QOE in iFogsim

  • Path Reliability
  • RAM Consumption 
  • Service Time

Routing Process in iFogsim

Our research experts have highlighted the routing used in the iFogsim simulator for instance real-time routing algorithm

    • It is the multi-objective genetic algorithm and the sorting in speed
    • It is used to increase the rotational speed, feed rate, and task speed

Innovative Project Titles in iFogsim

           Hereby, we have enlisted the research projects titles with the appropriate implementation screenshots in iFogsim

  • Security And Privacy Aware – Risk Assessment 
    • Malicious requests are dropped and normal requests are migrated from the source worker node to the target node. Here we predict the risk based on the Shannon entropy
  • Cloudlet Based Mobile Cloud
    • We apply to the cloudlet-based mobile cloud data center service provider information. It helps to allocate the further process. Add cloud resources
    • Information of the cloudlet based mobile cloud service provider to provide the cloud resources
  • Collaborative Filtering – Fog Computing
    • We load social community data. The server wants to collect initiate users item ratings and then apply the collaborative filtering process in Fog computing
    • Then the cloud server makes recommendations to the initiate users based on their interests, and the real users can re-calculate their personalized recommendations based on their own interest distributions and recommendation scores to intimate users
  • Fog Cloud Trustworthiness – Cloud Environment 
    • To calculate the cloud service provider trustworthiness based on SLA and security capabilities, history of SLA, and performance of fog cloud service