Top 15+ Interesting Fog Computing Projects

A computing technology that works as an interface between cloud and end-users is called Fog computing. It is mainly introduced to overcome the centralized system problems. So, it is designed in a distributed architecture to compute, process, and store large data. Close to edge computing, fog computing projects have a more beneficial impact on cloud developments. It has the primary objective to enhance the system performance by fast data accessibility. Further, it focuses on compliance motives and data security.

This page fully talks about Fog Computing Research and Development information for active research scholars and final year students!!!

What is meant by Fog Computing?

As mentioned earlier, the distributed architecture of fog computing enables efficient resource distribution from the cloud server to end devices. It places fog nodes at different regions between cloud and end devices. Here, the end devices communicate with the nearer fog node and request services.

Then, the respective node distributes the requested service from the cloud server. This network is also referred to as fogging or fog networking or fogging. Overall, this structure has scalable characteristics to allocate services, applications, and resources in a logical way for higher performance.

How Fog Computing Works?

Fog computing is not intended to replace cloud computing instead enhance the performance of cloud systems like edge computing. In this, the fog node performs short-term analytics at edge devices and the cloud server performs long-term analytics which is resource-intensive. In some cases, the edge devices are lacking in resources to perform their tasks like machine learning advanced analytics, etc. In that cases, cloud servers have more than enough resources to satisfy user needs.

Although cloud servers are enriched with resources, it is placed distant location from edge devices. So, edge devices have the possibility of receiving delayed responses for their resource requests. Further, all end devices approaching the same cloud servers may increase the challenges of privacy and security. To avoid these issues, fog nodes are placed as an intermediator between cloud servers and end devices. It securely performs the cloud actions ineffective and super-fast manner. Further, here we have given you the basic functions performed by fog devices in the fog network.

What are the functions of fog devices?

• Environment Monitoring
  • Knowledge Base
  • Performance Evaluation
  • Observation
• Application Models / Modules
  • Stream Processing
  • Sense-Process-Actuate
• Resource Control
  • Scheduling
  • Resource Allocation

Now, we can see the different classifications of fog computing such as technical characteristics, cloud configuration models, service modes, and security architecture. All these are helpful for beginners who wish to do a fog computing project. Since it includes all the fundamental information to do fog computing exploration.

Our resource team has sufficient knowledge on all these elements to guide you in every step of your research throughout your journey. If you like to know more basics on fog computing, then communicate with us.

Taxonomy of Fog Computing

• Technical Characteristics
  • Hardware – Network, Compute and Storage
  • Virtualization – Xen, AWS, VMWare and Azure
  • Software – Database, API, Portal and Application
  • Development Platform – Java, Perl, .Net, C++
  • Hypervisor – Bare Metal and Hosted
  • Operating System – Linux, Windows, Unix and Solaris
  • Resource Provisioning – Multi-Tennated and Dedicated (Direct)
• Configuration Characteristics
  • Platforms – Distributed globally and Single site
  • Development – Hybrid, Private and Public
  • Topology – Hierarchical, Star and Mesh
• Service Modes Characteristics
  • User Ease – Interactive and User-friendly
  • Management Control – Distributed and Centralized
  • Dependability – Platforms and Specific Hardware
  • Coverage Area – Global, Restricted, Select and Local
  • SLA Enforcement – Terms / Conditions and SLA Agreements
  • Interoperability – Integration and Compatibility
  • Service Type – PaaS, IaaS and SaaS
• Security Architecture
  • Access Control – Radius, Tacacs, AAA
  • Access Levels – Multi-Tier and Single-Tier
  • Security Monitor – Manual, Periodic and SIEM Tool
  • Data Safety Layer – Isolation, Encoding, Encryption

In addition, our resource team has shared some extensively used algorithms in fog computing projects. As well, it is categorized based on the four key operations of fog computing such as scheduling, load balancing, cache optimization, and resource distribution. Depending on the current research of fog computing, we identified that these algorithms gain more importance for solving major research issues. Similarly, we also have appropriate solutions for other growing research challenges of fog computing. We assure you that the proposed techniques/algorithms are up-to-date and best to solve the challenges.

Latest Algorithms in Fog Computing

• Scheduling Techniques
  • Round-Robin Scheduling
  • Most Fit Task Scheduling
  • Non-Preemptive Scheduling
  • Data-Aware Scheduling
  • First Come First Serve Scheduling
  • Preemptive Scheduling
  • Priority-Aware Scheduling
  • Greedy Scheduling Algorithm
• Load Balancing Algorithms
  • Particle Swarm Optimization (PSO).
  • Ant Colony Optimization (ACO)
  • Hill Climbing Algorithm
  • Improved Throttled
  • Honeybee Foraging Behavior
  • Biased Random Sampling
• Optimized Caching Techniques
  • Effective Cache Replacement Strategy
  • Customized Preference Learning
  • Dueling Deep Q-Network
  • Many-to-One Matching Game
  • Graph based Cooperative Caching
  • Dynamic B-Matching Cache Optimization
• Resource Distribution Techniques
  • SLA-based Resource Distribution
  • Dynamic Resource Distribution
  • Energy-Aware Resource Distribution
  • Gossip-based Resource Distribution
  • Topology-Aware Resource Distribution
  • Replication-based Resource Distribution

For your information, here we have given you the significant operations involved in fog computing. Our developers have developed many real-time and non-real-time applications on fog computing. So, we are familiarized with all sorts of fog operations at the level of complexities. Although the research problems are complex to solve, we design new algorithms and hybrid techniques to crack the problems. In this way, we have created many achievements in following operations and also still creating continuously. We ensure you that we meet your project results expectation through advanced algorithms and technologies.

Major Tasks in Fog Computing

• Data Acquisition
• Security
• Data Investigation
• Network Topology Creation
• Task Scheduling
• Decision Making
• Resource Distribution
• Task Queuing
• Workload Balancing

Next, we can see creative research topics for fog computing projects. We always handpick our research topics from the latest research areas of fog computing. Further, we also support our client requested research areas and research ideas. Presently, scholars are moving towards the hybrid technologies of fog computing. In that case, now we are currently working on fog-edge computing, cloud-fog computing, mobile-fog computing, etc. Similarly, we are also working on other emerging research areas of fog computing. So, connect with us to know advanced research updates of fog computing.

Innovative Research Topics in Fog Computing Projects

• Privacy and Trust Challenges in Data Fusion
• SLA-based Service Management in Micro Data Center
• Fog System Designing and Migration Modeling
• Computation Load Balancing for Energy Preservation
• Achievement of Quality-of-Control and Quality-of-Service
• Data Access Control Mechanisms for Distributed Data Storage
• Advanced Development of Programming and Trust Models
• Improved Network Virtualization, Handover and Slicing
• Robust Accounting, Authorization and Authentication Schemes
• Security Policies and Protocols for Edge Intelligence
• Management of Potability, Dependability and Interoperability
• Design of System Frameworks, Middleware and Architectures
• Real-time Workload Scheduling and Resource Provisioning

Further, our experts have shared with you a few important development tools for fog computing projects. Since tool selection is the most primary task to be carried out in project development. To support fog computing implementation, different fog simulation tools have developed and still developing. So, one should choose an optimal tool by analyzing and comparing the key characteristics of various tools.

From our experience, our developers are adept to detect the best tool based on proposed project objectives. For our handhold scholars, we suggest best-fitting development tools, technologies, datasets, programming language, performance metrics, etc. in default. Moreover, we also support and consider our client’s choices too.

What are the best tools for fog computing projects?

• OMNeT++
  • It comprises FogNetSim++ to design and simulate fog network
  • It includes detailed configuration options with huge libraries
  • It is an open-source software to simulate discrete events and network characteristics
  • It forms network with edge nodes, fog nodes and IoT devices
  • It allows simulating service request, task scheduling, resource allocation, request response from servers, etc.
• ifogSim
  • It is specially meant for simulating fog computing infrastructure
  • It allows to simulate the communication, resource allocation and management
  • It is highly used in fog computing and internet of things fields
  • It examines the performance by means of network utilization, delay and energy utilization
• NS-3
  • It enables to create fog computing using cloudsim.jar
  • It allows to simulate resource management and produce generated har file
  • It incorporates ns-3.26 package with generated jar file to establish the fog simulation
  • It acquires output by means of fog processes in jar file
• EmuFog
  • It enables to design and simulate edge framework
  • It used to replicate the real-time scenarios of task executions
  • It balances the resource allocation by offloading the task to nearer edge servers
  • It majorly executes docker-based applications
  • It connects the nodes through emulated network and achieve the performance
• NetSim
  • It is based on sensor network to execute application data payload by sensor
  • It uses input function for achieving value of payload data. For instance: select random number between MIN and MAX
  • It writes the condition in Network IN Event (i.e., When the device ID is same as Router / Gateway, perform payload check)
  • It drops / forward the data while payload value is less than threshold value
• FogTorch
  • It supports to develop fog infrastructure
  • It allows to simulate task scheduling and resource distribution
  • It is easy to deploy fog servers and fog devices / nodes
  • It measures the performance by means of Quality of Services (QoS) parameters. For instance: bandwidth, delay, etc.

On the whole, we are here to develop your handpicked fog computing project in an apt development tool with the assurance of best results. We assure you that our providing services for your fog computing study are reliable and top-quality. So, reach us to reach your research destination by achieving the best fog computing projects. As well, we also support you in dissertation/thesis preparation through our native writer team.

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