Introduction of IFog Simulator: iFogSim simulator is a tool kit that is used for the simulation and modelling process of the resource management techniques in fog computing, the internet of things, and edge computing resources.
Notable Benefits in IFogSim
The following is about the uses of the iFog Simulator process and it is useful for the research scholars to develop their research in iFogSim
- The fog network simulation process is happened by the whole configuration options of the users
- Then it permits the researchers the integration of mobility models in the fog node scheduling algorithms
Significant Modules in IFog Simulator
Let us discuss the modules in the iFogSim with their own functions as follows
Modules and their Uses
- Computation Elements
- In smart cameras, the picture capture module is designed to capture the images in the parking line every 5 seconds
- The vacant parking slots are detected by the transmission of the images to the second module
Major Plugins in IFogSim
Our research experts in iFog Simulator have listed out the significant uses in the plugins of the iFogSim
Plugins with its Functions
- Node
- It is used to design the node data and for the data transmission process
- Sensor Gui
- It permits the users to attain the real-time data and for the settings in the sensors
Important Classes in IFogSim
Hereby, we have been clarified the major classes of iFog Simulator below but the research students may use numerous classes with the support of libraries. We can provide the in-depth analysis and implementation support for the selected class to develop your research
Classes and its Purposes
- Sensor
- It is used to generate the IoT devices in the iFogsim, in this process the setup link latency and the gateway device id is explored
- The device which is connected with the sensors and other devices such as the fog node, router, etc is called the gateway device
Essential Tools in IFogSim
Our research experts have lots of experience with the integrated tools and their functions in iFog Simulator for more reference you can contact us for the implementation. Here, the tools are highlighted below
Tools and its Uses
- Cloudsim
- It is used to assist the processing of events and queuing and then it is used for the communication process between the components and the management
- It is the Java based simulation tool kit and it is considered as the outline of the software
Software Specification in IFog Simulator
For your reference, we have listed down the important programming languages used in the iFogSim
Programming Languages in IFogSim
- Python
The notable operating systems in iFogSim are listed below. And we extend our support for your requirements in research
OS Support in IFogSim
- All Hardware Unit is Modelled with the Parameters
- Operating System: Windows 10 (64 Bit)
- Hardware Details
- Busy and Idle Power (W)
- Cost Rate Per MIPS Used (E.G., $)
The versions in iFog Simulator are useful for the research scholars to update their knowledge. The versions are
Versions in in IFogSimr
- Netbeans (Higher Version)
Noticeable Protocols in IFogSim
Our research professionals are well versed in all the protocols and we provide support for your selected research protocols. Here, we have listed the significant protocols in iFogSim
- Transmission Control Protocol Latency Model with the iFogsim Simulator
- In the transmission process, any IP packet is left out of order means TCP creates the retransmission for the packets and finally they are in the order
- It is used to calculate the latency of the network and time required to travel the network
Latest Subjects in IFogSim
Therefore, we have listed down the recent subjects in the iFog Simulator
- Cloud Computing
- Internet of Things
- Data and Security Computing
- Fog Computing Across the Various Industries
- Mobile Cloud Computing
Required Parameters in IFogSim
Generally, parameters are used for the evaluation process in the research projects. Thus, the research experts have highlighted the notable parameters in the iFogSim
- HL Nodes to Cloud
- Simulation Duration
- Event Handler Module
- Application Data Receiving Frequency
- Filter Module
- Status Sharing and Observation Period
- Client Module
- Application Service Delay Dead Line
- Analysis Module
- IOT Device to LL Nodes
Subject Based Modules in IFogSim
The following is about the research subjects with the supportive modules in the iFog Simulator
- Add Block (Block Chain)
- Hash and Previous Hash
- Mining Block
Bloch Chain Storage Syntax in IFogSim
For your reference, the research experts have listed down the significant syntaxes used in the iFog Simulator
- The DU registration is created with the login GUI such as iris, device ID, password, fingerprint, etc
- The following procedure is start, login process, and end it takes place after completing the registration
- The block will receive the trusted authority
- End of the code
Vital Application in IFogSim
Here, we have listed out the substantial applications in the iFogSim and we extend our support for other applications too
- Smart Waste Management System
- Smart Car Parking
Foremost Algorithms in IFogSim
In iFog Simulator, there are several algorithms but we have listed only few for your reference and for the development of the project
- Heuristics Algorithms Based Scheduling
- The PLTS algorithm helps to authenticate the usage of the sources in the fog nodes to provide better gratification for the users
- Module Mapping Algorithm
- It is used for the efficient utilization of the application modules in the fog cloud resources
Topmost Areas in IFog 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
- Smart Cameras
- It is used to transmit the images to the fog nodes and the images are also taken by the smart cameras in the parking lanes
- The data storage takes place in fog node due to the detection of the empty parking slots
Essential Metrics in IFog Simulator
As a matter of fact, metrics are used for the evaluation process and we have listed down the significant metrics in the iFogSim
- CSP Security Loss
- Completion Time
- Network Congestion
Important Process in IFogSim
Let us discuss the significant process used in the iFogSim
- The communication model is used to reduce the demands in the system and it is called the set of servers
- Computation model includes the several numbers of MDUs and it is the implementation of the task computation
- Load balancing is used to create the computation and communication resources among the base stations
- Security
Significant Steps in IFog Simulator
Our research professionals in the fog simulator have listed down the step involved in the process of the fog sim implementation
- The environment of cloudsim is created with the centralized cloud server, mobile edge node, and number of mobile device users
- To monitor the whole process the base stations are linked with the router
- The improvement of the MEC happens by locating the computation in the task scheduling
Comparative Study in IFogSim
Let us discuss the quality of service which is used to produce the best results in iFog Simulator
QoS in IFogSim
- Task Base Hourly (Response Time)
- Service Level Agreement (SLA)
- Relative Network Load Ratio
- Efficient Full-Stack Analysis
Hereby, we have highlighted the quality of experience of the fog simulator
QOE in IFogSim
- Binding Update Packet
Major Routing Process in IFogSim
Our research experts have highlighted the routing used in the iFog Simulator for instance real-time routing algorithm
- Stable Election Routing Algorithm
- It permits the identical nodes for the division of CH selecting policy and to extend the time period in the system and it regulates the objective energy consumption
Projects using ifogsim Sim
Hereby, we have enlisted the research projects titles with the appropriate implementation process in the iFogSim
- Three Tier Framework Offloading Computation
- During offloading, the MDU may choose to offload data about the computational task to the MEC server. In addition, we use a heuristic algorithm to address the computation task scheduling and effectively boost utilization of resources at the MEC. Here we display the configure simulation based on the process
- IoT Fog Cloud Environment
- The terminal device sends the data request to the processing module of the fog layer. In the fog computing layer, we establish a task clustering model and a resource integration model and determine the execution location of the task according to resource integration
- Multi Objective-Based Optimization
- Here we load the multi-media dataset. Then we apply to perform the Non dominated Sorting Differential Evolution (NSDE) algorithm based offloading approach to optimize the multi-objective optimization