What Is Fog Computing?

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Cisco’s Chuck Byers, co-chair of the Architecture Framework Working Group and Technical Committee of the OpenFog Consortium, mentioned vertical industries, use cases and applications in a blog post. The video that dives deeper into the OpenFog Reference Architecture and puts some other terms and pillars in perspective can be viewed on YouTube here. Just like transducers it sets something in motion based upon an input whereby the data from the input here is analyzed very rapidly. Fog computing uses various protocols and standards, so the risk of failure is much lower. The new technology is likely to have the greatest impact on the development of IoT, embedded AI and 5G solutions, as they, like never before, demand agility and seamless connections. Storage capacities — highly scalable and unlimited storage space are able to integrate, aggregate and share an enormous amount of data.

Implementation of a simple fog architecture with micro cloud nodes has been described, in between centralized cloud chains through end devices for health care smart sensor devices which are sensing and monitoring health care systems . Fog computing or fog networking, also known as fogging, is pushing frontiers of computing applications, data, and services away from centralized cloud to the logical stream of the network edge.

Managing Resources In Micro Data

The board supports Microsoft’s Windows 10 variants including Windows 10 IoT Enterprise, and Windows 10 IoT Core, as well as Linux, and many popular commercial real-time operating systems . Fog computing has been around for a while and its definition has deviated somewhat from its original definition, thanks to the latest available products and how much compute power is now available at the edge of the IoT. I wrote a blog on this topic a while back called Cloud, Fog and Edge Computing – What’s the Difference? It’s been quite a popular blog as people seem to be struggling with where to put their resources. According to Gartner, every hour of downtime can cost an organization up to $300,000. Speed of deployment, cost-effective scalability, and ease of management with limited resources are also chief concerns.

fog computing meaning

IT strategy should be customized to the needs of the specific organization based on best data analysis. By using appropriate data analysis and prioritization techniques, critical data (which needs real-time treatment) can be recognized and processed at the fog node for provision QoS to the end users . Hierarchical user control cloud storage , by the use of cloud based cheap storage through control of client for privacy at fog nodes, we can achieve the best of both frameworks for described challenges based on new IoT structure . For example, dispersal of bytes of a file across multiple public clouds by file portioning on the fog state can be secured and provide privacy for significant information, even given encryption key would be leaked . Figure 5 is providing an example of daily based generated data assessments by CISCO in 2017 from large scaled implanted IoT and IIoT with graphical representation. IoT devices and applications are organized at an overwhelming rate from a countless of global endpoints. According to the research studies , the number of IoT devices is predicted to get bigger from 1.2 billion presented in 2015 to 5.4 billion connected devices globally by 2020.

Understanding Edge Computing Vs Fog Computing

In addition, having all endpoints connecting to and sending raw data to the cloud over the internet can have privacy, security and legal implications, especially when dealing with sensitive data subject to regulations in different countries. Popular fog computing applications include smart grids, smart cities, smart buildings, vehicle networks and software-defined networks. Both technologies can help organizations reduce their reliance on cloud-based platforms to analyze data, which often leads to latency issues, and instead be able to make data-driven decisions faster.

New requirements of the emerging technologies are the driving force behind IT development. The Internet of Things cloud vs fog computing is a constantly growing industry that requires more efficient ways to manage data transmission and processing.

The application was tested on six patients and Fog computing made it possible to remotely process large-amount of audio data in a reduced duration. Another work extends the features of Mobile Edge Computing into a novel programming model and framework allowing mobile application developers to design flexible and scalable edge-based mobile applications. The developer can benefit from the presented work as the framework is capable of processing data before its transmission and considers geo-distribution data for latency-sensitive applications. Using Fog platform for optimising web-services will also introduce web security issues. This could result in the compromise of entire Fog system’s database or the forwarding of modified information to a central server . Similarly, due to insecure web APIs, attacks like session and cookie hijacking , insecure direct object references for illegal data access, malicious redirections and drive-by attacks could force a Fog platform to expose itself and the attached users.

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This joint optimisation of multiple users can improve the Quality of Experience and network performance by 90% of up to 4 users per small cell. Edge computing is also being used for reducing network latency, ensuring highly efficient service delivery and offering an improved user experience by utilising programmable nature of NLV and SDN . Fog computing implementation involves either writing or porting IoT applications at the network edge for fog nodes using fog computing software, a package fog computing program, or other tools.

The Fog Computing Market: $18 Billion By 2022

Particularly, fog computing architecture is featured with data plane and control plane both; each of them is rapidly rising the number of examples in protocol layers to the application layer from the physical layer. This work complements our whole work to present the prospective benefits of fog computing in terms of competency and low latency.


Edge computing typically happens directly where sensors are attached on devices, gathering data—there is a physical connection between data source and processing location. By moving real time analytics into a cloud computing fog located closer to devices, it is easier to capitalize on the existing computing power present in those devices. Fog computing is especially important to devices connected to the internet of things .

Embedded hardware obtains data from on-site IIoT devices and passes it to the fog layer. Pertinent data is then passed to the cloud layer, which is typically in a different geographical location. The cloud layer is thus able to benefit from IIoT devices by receiving their data through the other layers.

What Is Edge Computing?

Hence, it is vital to continuously scan for compromised nodes and deploy counter-measures to prevent the inclusion of malicious nodes and end-user devices. Those designing and developing Fog systems would need to consider the potential of underlying operating system to become compromised and considering how their system, and its physical implications can be protected to minimise damage. One study provides a solution for protecting data from malicious insiders using components of Fog and Cloud computing.

Figure 4 is realizing hardware architectures as well as four-layer high level software architecture, deployed as a fog node. The platform is hosted by different OSs and software applications, thus having a wide range of software and hardware capabilities. A generic driver interface is provided by the abstraction layer of the software framework for managing the hardware such as storage, NIC, memory, and other types of hardware for seamlessly resourcing management and control . Alternatively, NFV changes the network functionality with virtual machine operational environment, but NFV is not intentionally approved in the framework of fog computing, until now.

Are Fog Computing And Edge Computing The Same Thing?

The keywords used to find the literature are “Fog computing”, “Fog computing applications”, “Fog computing security”, “Fog security issues” and “Fog security”. To best of our knowledge, we reviewed all papers which were displayed in the search engine at that time.

Table 3 is showing the deployment cost result about proceeding to assess the improvements provided by SCPA through flow level simulations within large network topologies. This section identifies and concentrates on some apparent issues in fog computing structure development. These following issues provided better understanding for the direction of future work. Fog has a feature applicable when environment monitoring system, in near smart grid applications, inherently extends its monitoring systems caused by hierarchical computing and storage resource requirements. Fog based data access and analytics give a better alert about customer requirements, best position handling for where to transmit, store, and control functions throughout cloud to the IoT continuum.

fog computing meaning

Fog computing does close the distance between the processing location and the data source, but it does this by conducting edge computing activities within an IoT gateway or fog node with LAN-connected processors or within the LAN hardware itself. The result is more physical distance between the processing and the sensors, yet no additional latency. By moving storage and computing systems as near as possible to the applications, components, and devices that need them, processing latency is removed or greatly reduced. This is especially important for Internet of Things-connected devices, which generate massive amounts of data. Those devices experience far less latency in fog computing, since they are closer to the data source. The future of big data analytics is the best performance for a successful venture.

Future Proof Your Business With 5g, Edge Computing, And Cloud!

Hence, the use of a decision support tool that is capable of advising security measures to developers can prevent the occurrence of vulnerabilities pro-actively and save the Fog platform from potential damage. Fog computing can play an important role, where the efficient processing and instantaneous decision-making is required. Take an example of tracking multiple targets in a drone video stream as stated in . Instead of sending live video feeds to a Cloud-based application, it is directed towards the nearest Fog node. Any mobile device such as tablets, smart-phones and laptop can become Fog node, run tracking algorithms and process raw video stream frames, hence removing the latency of transmitting data from the surveillance area to the Cloud. Results show that the addition of a Fog platform reduced an average of 13% of total processing time.

fog computing meaning

Those nodes closest to the edge, or edge nodes, take in the data from other edge devices such as routers or modems, and then direct whatever data they take in to the optimal location for analysis. These clarified characteristics enable new services and business models that can help to expand revenues, cost reduction, or speed up product rollouts in the industry and also have attractions for new investors in the context of fog structure deployment.

Analytics helps in operations to sense what important, understand what values can be generated, and act immediately to capture those values. Specifically manufacturers are using data analytics to predict depending equipment failures and improve quality and market responsiveness by sql server 2019 coordinating extended and complex supply chains. Data analytics can better engage with their customers to develop new revenue streams and enhance product features and new product development. We can say that streaming of IoT big data presents one of the biggest opportunities .

  • A food item can be physically traced using various attributes, such as location, processing and transportation devices.
  • This wide range of functionality driven applications intensifies many security issues regarding data, virtualization, segregation, network, malware and monitoring.
  • For example, dispersal of bytes of a file across multiple public clouds by file portioning on the fog state can be secured and provide privacy for significant information, even given encryption key would be leaked .
  • Fog computing or fog networking, also known as fogging, is pushing frontiers of computing applications, data, and services away from centralized cloud to the logical stream of the network edge.
  • Embedded hardware obtains data from on-site IIoT devices and passes it to the fog layer.

For data at rest, the AES algorithm with 256-bit key size or obfuscation can be used to ensure privacy, while the Secure Socket Layer protocol can be used for establishing secure communication between a server and a client . In addition, efficient data integrity checks should be performed before and after communication to validate the received information and it’s sender. The important aspect here is to clearly distinguish between archival data and sensitive information. Encrypting archival data like public video streaming will reduce the performance of Fog system and impact upon the performance of sibling applications. It is, therefore, essential for the designer of a Fog system to adequately assess the importance of the data and implement security measures where necessary. Insecure authentication protocols between Fog platforms and end-user devices have been identified as a main security concern of Fog computing by .

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