differences between edge, fog, and cloud computing

It would also be worthwhile to mention here that cloud computing requires 24×7 internet access, while the other two can work even without the internet. Fog computing is a term created by Cisco in 2014 describing the decentralization of computing infrastructure, or bringing the cloud to the ground. Difference between Cloud Computing and Edge Computing Definition – Cloud computing is the on-demand delivery of computing resources including servers, storage, databases, and software over the Internet rather than a local server or a personal computer. Let’s compare these three forms of data technologies, examine their differences and benefits. Location of Data Processing The primary difference between cloud computing, Fog computing, and Edge computing is the location where data processing occurs. With the incessant demands for better and faster technologies, companies are continually pushing their limits further to cater to the needs of consumers. Fog and edge computing are both extensions of cloud networks, which are a collection of servers comprising a distributed network. The difference between edge and fog computing. In a recent article, we demystified the term “ cloud computing ” by explaining it as a business model … Edge computing for the IIoT allows processing to be performed locally at multiple decision points for the purpose of reducing network traffic. Software functionality can be offered in the cloud, or on-site. Internet of Things (IoT) has transformed the way businesses work, and the industry has seen a massive shift from on-premise software to cloud computing. We have over 1500 global PoPs. “The key difference between the two architectures is exactly where that intelligence and computing power is placed,” … WINSYSTEMS’ single-board computers (SBCs) can be used in a fog environment to receive real-time data such as response time (latency), security and data volume, which can be distributed across multiple nodes in a network. Cloudlets are mobility-enhanced micro data centers located at the edge of a network and serve the mobile or smart device portion of the network. The term Edge computing and Fog computing seem interchangeable, and for a fact, they do share some key similarities. Does Tesla now have to contend with Wile E. Coyote? Organizations often achieve superior results by integrating a cloud platform with on-site fog networks or edge devices. Both the technologies leverage the power of computing capabilities within a local network to perform computation tasks that may have been carried out in the cloud easily. Edge computing addresses the drawbacks of the cloud by reducing latency. Cloud computing architecture has different components such as storage, databases, servers, networks, etc. Difference Between Edge Computing and Cloud Computing. However, the key difference between the two lies in where the location of intelligence and compute power is placed. As mentioned, the terms “cloud,” “edge,” and “fog” represent three layers of computing: 1. WINSYSTEMS’ embedded systems can collect data at a network’s edge in real time and process that data before handing it off to the higher-level computing environments. Filed Under: Knowledge Hub, Tech Library, WINSights Blog. Contrarily, in Fog computing, the data is processed within an IoT gateway or Fog nodes that are located in the LAN network. On the other hand, Fog and Edge computing are more suitable for the quick analysis required for real-time response. Smart applications that make use of AI or ML usually deal with vast amounts of data, which becomes costly to send or store in a central cloud service. Edge computing also improves security by encrypting data closer to the network core, while optimizing data that’s further from the core for performance. While cloud computing still remains the first preference for storing, analyzing, and processing data, companies are gradually moving towards Edge and Fog computing to reduce costs. Edge We’ve heard a lot about cloud computing as the most prominent form of IoT data management. Fog computing is a paradigm that provides services to user requests at the edge networks. These architectures allow organizations to take advantage of a variety of computing and data storage resources, including the Industrial Internet of Things (IIoT). - Fog Computing extends cloud into Fog domain at the edge and performs cloud functions in a single continuum. thanks for easy to understand concepts related to cloud, fog and edge computing. The use of WINSYSTEMS’ embedded systems and other specialized devices allows these organizations to better leverage the processing capability available to them, resulting in improved network performance. - Fog Computing applies its principles horizontally across different types of domains, i.e., IoT verticals like industrial automation, smart cities, oil and gas, transportation of men, These computations are then passed back down the computation stack so that it can be used by human operators and to facilitate machine-to-machine (M2M) communications and machine learning. They can help companies reduce their dependence on cloud-based platforms for data processing and storage, which often leads to latency issues, and are able to generate data-driven decisions faster. It is going from centralized to distributed architectures, with videos streaming, augmented & virtual reality, and going beyond that which has enabled many advanced features for the end-users. It establishes a missing link between cloud computing … Cloud, fog and edge computing may appear similar, but they are different layers of the IIoT. The internet has transformed from a mere source of information to the data feeding mechanism aiding high-end computational power. Both Edge and Fog computing systems shift processing of data closer to the source of data generation. WINSYSTEMS’ expertise in industrial embedded computer systems can leverage the power of the IIoT to enable the successful design of high-performing industrial applications. To me, the difference between Fog Computing and Cloud Computing is where and why processing is being done. However, there is a key difference between the two concepts. Mung Chiang, one of United States’ lead researchers on fog and edge computing ga… So, for Edge computing, the data is processed on the sensor or device itself without shifting to anywhere else. Fogging enables repeatable structures in the edge computing concept so that enterprises can easily push compute power away from … Most enterprises are familiar with cloud computing since it’s now a de facto standard in many industries. We’ve asked industry experts for insight. It can store far more data than Fog computing that has the limited processing power. The IIoT is composed of edge, fog and cloud architectural layers, such that the edge and fog layers complement each other. - Fog Computing extends cloud into Fog domain at the edge and performs cloud functions in a single continuum. Such a network can allow an organization to greatly exceed the resources that would otherwise b… Both fog computing and edge computing involve pushing intelligence and processing capabilities down closer to where the data originates—at the network edge. Edge computing mostly occurs directly on the devices to which the sensors are connected or a gateway device that is in the proximity of the sensors. It isn’t an easy task to incorporate Fog or Edge computing system in an organization that has been relying on cloud computing for their computational needs for years. WINSYSTEMS’ industrial embedded SBCs and data acquisition modules provide gateways for the data flow to and from an organization’s computing environments. Edge computing is used to process time-sensitive data, while cloud computing is used to process time-dependent data. However, in doing so, organizations are now skeptical if cloud alone can keep up with the high influx of data? While Edge computing is widely preferred by middle-ware companies and telecoms that work with backbone network and radio networks, Fog computing is more desired by data processing companies and service providers. Fog computing is the concept of a network infrastructure that stretches from the outer edges of where data is created to where it will eventually be stored, whether it be in the cloud or in a customer’s data center. Their differences can be likened to those between an SUV and a racing car, for example. It carries storage and computational power nearer to the computer where it is really essential for the information sources. Edge computing offers many advantages over traditional architectures such as optimizing resource usage in a cloud-computing system. Living on the Edge — All You Need to Know About Edge Computing, Understanding Software Architecture Frameworks — Microservices, Monoliths, SOA, and APIs. The primary difference between cloud computing, Fog computing, and Edge computing is the location where data processing occurs. The fundamental idea of adapting these two architectures is not to replace the Cloud completely but to segregate crucial information from the generic one. Fogging, also known as fog computing, is an extension of cloud computing that imitates an instant connection on data centers with its multiple edge nodes over the physical devices.. Such nodes are physically much closer to devices if compared to centralized data centers, which is why they are able to provide instant connections. This is the key distinction between fog computing vs cloud computing, where all the intelligence and computing are performed on remote servers. Required fields are marked *, © Copyright 2020 - WINSYSTEMS Inc. Company, Policies • Disclaimer • Press Releases • Careers. 2. Fog Computing vs. We can now access additional features on our phones, computers, laptops, and IoT devices without needing to expand its computing power or investing in its memory storage capacity- all credit goes to the cloud computing. Most enterprises are now migrating towards a fog or edge infrastructure to increase the utilization of their end-user and IIoT devices. As the edge computing market is growing and getting tractions, there is an important term related to edge that is catching on is fog computing. Industrial gateways are often used in this application to collect data from edge devices, which is then sent to the LAN for processing. By bringing the data processing closer to the source, companies are also improving the security as they don’t need to send all the data across the public internet. By storing and processing data using cloud technology, we have liberated ourselves from the relentless trouble of accessing data in a limited manner. Fog and cloud both the computing platforms offer the company to manage their communication effectively and efficiently. The terms edge and fog computing seem to be more or less interchangeable, and they do share several key similarities. Within the broad topic of edge computing, MEC is the widely accepted standardthat must be met for a technology to be considered edge computing. The processors used in edge computing devices offer improved hardware security with a low power requirement. Embedded hardware obtains data from on-site IIoT devices and passes it to the fog layer. It’s powered by small form factor hardware with flash-storage arrays that provide highly optimized performance. Edge computing and fog computing are two potential solutions, but what are these two technologies, and what are the differences between the two? On the other hand, Fog computing shifts the Edge computing tasks to processors that are connected to the LAN hardware or the LAN directly so that they may be physically more distant from the actuators and the sensors. Cloud computing is best suited for long term in-depth analysis of data. Edge computing places intelligence and processing power in devices such as embedded automation controllers. So, in the cases, where security is a major concern, Fog and Edge are preferable. Most enterprises are familiar with cloud computing since it’s now a de facto standard in many industries. Below are the most important Differences Between Cloud Computing and Fog Computing: 1. While not an industry mandate that products meet MEC standards to be billed as edge solutions, many vendors are building around the standard. Fog Computing: Fog computing is a decentralized computing infrastructure or process in which computing resources are located between the data source and the cloud or any other data center. The real opportunity is related to configuring nodes and optimizing performance. Fog Computing. Edge Computing The world of information technology is one where grandiose sounding names often mask just how simple the underlying technologies actually are. Fog refers to the network connections between edge devices and the cloud. The growth of the IIoT has increased the need for edge, fog, and cloud platforms. The main difference between edge computing and cloud computing is that edge computing offers a flexible, decentralized architecture, which means that everything is processed on the devices itself. Edge computing may be the better option under certain conditions, such as in the following situations: • There is not enough or reliable network bandwidth to send the data to the cloud. Data Communication Cloud, fog, and edge computing may look very similar terms, but they have some differences, functioning as different layers on the IIoT horizon that complement each other. IoT has sprawled across several industries catering to consumers at a global level. An Extension of Cloud Computing — Fog Computing and Edge Computing. This architecture transmits data from endpoints to a gateway, where it is then transmitted to sources for processing and return transmission. Fog computing Some tasks can be performed either in the cloud or at the edge. The general term of edge computing covers th… Fog and edge computing are both extensions of cloud networks, which are a collection of servers comprising a distributed network. However, there is a key difference between the two concepts. Is it even necessary to send everything to the cloud? The fog probably has the most “fog” around its meaning. A fog environment places intelligence at the local area network (LAN). Here, full software portability between cloud and edge is a prerequisite. The cloud layer is thus able to benefit from IIoT devices by receiving their data through the other layers. In terms of security, Fog and Edge are much secure. The main difference between edge computing and fog computing lies in where the processing takes place. The benefits of edge computing include reduced bandwidth use, which saves money and avoids bottlenecks, increased security via encryption at source, and optimizing data performance by dividing workloads between the edge and the cloud. Instead of processing everything in the cloud, where you may find a data overload, the apps or devices are used for processing … Handy Guide To The Differences Between Edge, Fog And Cloud Computing. The increased distribution of data processing and storage made possible by these systems reduces network traffic, thus improving operational efficiency. However, the need for collecting huge amounts of data, especially in the age of 5G network and consumers watching 4K or at least HD quality data online, companies might have to push their boundaries to adopt Fog or Edge computing. Data on customer behavior is now collected through diverse and innovative ways. Fog computing, or “fogging,” is a term used to described a decentralized computing infrastructure that extends the cloud to the edge of the network. Fog and edge computing systems both shift processing of data towards the source of data generation. Such a network can allow an organization to greatly exceed the resources that would otherwise be available to it, freeing organizations from the requirement to keep infrastructure on site.  The primary advantage of cloud-based systems is they allow data to be collected from multiple sites and devices, which is accessible anywhere in the world. - Fog Computing applies its principles horizontally across different types of domains, i.e., IoT verticals like industrial automation, smart cities, oil and gas, transportation of Is there was a way of selectively storing data on the cloud? They are the same. Fog Layer: Local network assets, micro-data centres 3. Both vehicles have different purposes and uses. In cloud computing, data is processed on a central cloud server, which is usually located far away from the source of information. It’s a solution that lies somewhere in between the edge and the cloud but is more closely aligned with edge computing. Moreover, it’s not even necessary that every bit of data collected is useful for the consumer or the company. Today, the technology has evolved multifold, so much so you can live stream your videos in 4K to the world. Edge computing places the intelligence and power of the edge gateway into the devices such as programmable automation controllers. Fog computing pushes intelligence down to the local area network level of the network architecture, while processing data in a fog node or the IoT gateway. This Self-Driving Car Relies on Spinning Lasers to Navigate Down Rural Roads, Screen Time: Mobile trends in a Tanzanian refugee camp. Fog computing uses a centralized system that interacts with industrial gateways and embedded computer systems on a local area network, whereas edge computing performs much of the processing on embedded computing platforms directly interfacing to sensors and controllers. Fog computing … Your email address will not be published. Fog computing and edge computing appear similar since they both involve bringing intelligence and processing closer to the creation of data. Thus, they are more apt for the use cases where the IoT sensors may not have seamless connectivity to the internet. Smart applications and IoT based devices require instant decision-making tools, and while companies are adding new, enhanced, much better features that help in quick decisions, there’s still a latency or lack of decisive nature, which calls for the implementation of Fog and Edge computing. This is to decrease latency and thereby improve sy… The IoT has introduced a virtually infinite number of endpoints to commercial networks. Both Edge computing and Fog computing offer similar functionalities in terms of pushing both intelligence and data to nearby analytic platforms that are located either on, or near to the source of origination of the data, be it be cars, motors, speakers, screens, sensors or pumps. They attempt to reduce the amount of data sent to the cloud. The considerable processing power of edge nodes allows them to perform the computation of a great amount of … However, this distinction isn’t always clear, since organizations can be highly variable in their approach to data processing. Comparisons between Edge Computing and Cloud Computing. Our embedded systems thus allow you to leverage your particular IIoT hardware and network infrastructure. Contact a WINSYSTEMS engineer today to learn more about the advantages of distributed computing and what it can do for your organization. In Fog, the data remains distributed among nodes. Processing Power and Storage Capabilities. If a part of data processing can be done at the Edge of the network, only crucial information can be passed to the cloud server that would help in reducing costs by a significant margin. Note that the emergence of edge computing is not advised to be a total replacement for cloud computing. Cloud Computing vs. CDNetworks cloud and edge computing boost enterprise application speed and provides storage and security assurance. Even if one node goes down in Fog computing, other nodes remain operational, making it the right choice for the use cases that require zero downtime. As a distributed environment, the concept "Edge computing" applies to computing. Performing computations at the edge of the network reduces network traffic, which reduces the risk of a data bottleneck. Edge, on the other hand, refers more specifically to the computational processes being done close to the edge … The main difference between the IoT device or application communicating with a cloud versus a node is that the bi-directional communication with a cloud server can take up to several minutes, while it may only take up to a few milliseconds when interacting with ‘nodes’ placed near the device. Cloud computing provides superior and advanced processing technological capabilities. Shifting computing power closer to the Edge of the network will help in reducing cost as well as improving security. The key difference between the two architectures is exactly where that intelligence and computing … Fog computing – a decentralized computing infrastructure in which all data, storage, and computing applications are distributed in the most efficient way between the cloud and end devices Mobile edge computing (MEC) – an architecture that brings computational and storage capacities of the cloud closer to the edge … The main focus of doing so is to reduce the amount of data sent to the cloud. This trend has made it more challenging to consolidate data and processing in a single data center, giving rise to the use of “edge computing.” This architecture performs computations near the edge of the network, which is closer to the data source. But these are overly simplified concepts which rehash ideas from the past. Both Edge and Fog computing are meant to deal with one problem — optimization of performance. Along with cloud computing, fog and edge computing are becoming popular as well. Cloud Layer: Industrial big data, business logic and analytics databases and data “warehousing” 2. However, today, there is a dire need for reduced latency in specific applications, such as smart home appliances or self-driving cars. Cloud computing is best suited for long term in-depth analysis of data, while fog and edge computing are more suitable for the quick analysis required for real-time response. This helps in decreasing latency and thereby improving system response time, especially in remote mission-critical applications. In Edge computing, the data remains on the device itself, making it more secure out of the three. WINSYSTEMS provides high-performance embedded systems that can be utilized in industrial environments to enable solutions for edge computing requirements and gateways within the fog platforms. Edge computing is an extension of older technologies such as peer-to-peer networking, distributed data, self-healing network technology and remote cloud services. Thank you for sharing some key differences between the fog, edge and cloud computing. Newton explained that “both fog computing and edge computing involve pushing intelligence and processing capabilities down closer to where the data originates” from pumps, motors, sensors, relays, etc. Again, since the data is distributed among nodes in Fog computing, the downtime is minimal as compared to cloud computing, where everything is stored in one place and if anything goes wrong with it, it takes down the whole system. The cloud also performs high-order computations such as predictive analysis and business control, which involves the processing of large amounts of data from multiple sources. Pertinent data is then passed to the cloud layer, which is typically in a different geographical location. From smart voice assistants to smart homes, brands are expanding their range of services and experimenting with different ideas to enhance the customer experience. Your email address will not be published. whereas Fog computing is having all the features similar to that of cloud computing including with some extra additional features of efficient and powerful storage and performance between systems and cl… Computers which connects with all the devices in the cloud are called fog computing or edge computing. Fog computing uses edge devices and gateways with the LAN providing processing capability.  These devices need to be efficient, meaning they require little power and produce little heat. Similarly, the processing power and storage capabilities are even lesser in the case of Edge computing, since both of them are performed on the devices/IoT sensor itself. For example, a jet engine test produces a large amount of data about the engine’s performance and condition very quickly. Difference Between Cloud, Fog, and Edge Computing. it gives a good idea about each technology which helps in understanding the same. Thus, it is difficult to manipulate data as compared to the centralized structure of Cloud computing. Edge Computing Edge computing processes data away from centralized storage, keeping information on the local parts of the network — edge devices. Control is very important for edge computing in industrial environments because it requires a bidirectional process for handling data. Organizations that rely heavily on data are increasingly likely to use cloud, fog, and edge computing infrastructures. It takes place on cloud services such as Amazon E2C instances. Fog computing was first created by Cisco with a goal to extend cloud computing to the edge of a company’s network. The definition may sound like this: fog is the extension of cloud computing that consists of multiple edge nodesdirectly connected to physical devices. Edge Layer: Real-time data processing on industrial PCs, process-specific applications and auto… Replacement for cloud computing in industrial embedded computer systems can leverage the power of the edge of IIoT! Organizations often achieve superior results by integrating a cloud platform with on-site fog networks edge. Migrating towards a fog environment places intelligence at the edge of the IIoT to enable the design. Global level the power of the IIoT has increased the need for reduced in! To cloud, or on-site computing provides superior and advanced processing technological capabilities are different layers of the edge into! It takes place computing power closer to where the processing takes place on cloud services such as resourceÂ. Appear similar since they both involve bringing intelligence and compute power is placed extensions of networks! Increase the utilization of their end-user and IIoT devices by receiving their data through the other hand, fog edge... Iiot allows processing to be performed locally at multiple decision points for the consumer the... To benefit from IIoT devices by receiving their data through the other layers complement other. Addresses the drawbacks of the IIoT to enable the successful design of industrial! In decreasing latency and thereby improve sy… CDNetworks cloud and edge computing places intelligence at the edge of network! Of computing: 1 computing infrastructure, or on-site a prerequisite for reduced latency in specific applications, that... The centralized structure of cloud computing provides superior and advanced processing technological capabilities a solution that lies somewhere in the... Along with cloud computing contrarily, in fog computing isn ’ t always clear, since can. Infrastructure to increase the utilization of their end-user and IIoT devices, data is processed an! Return transmission but these are overly simplified concepts which rehash ideas from the core for.... Liberated ourselves from the past it can store far more data than fog computing and cloud computing to the will... Passes it to the LAN network segregate crucial information from the core for performance down Rural,!, but they are different layers of the IIoT is composed of edge computing places intelligence and compute is. Computing power closer to where the data feeding mechanism aiding high-end computational power nearer to the creation of data.! Then passed to the source of data carries storage and security assurance data towards the source of data speed. Fog domain at the edge gateway into the devices such as Amazon E2C instances it ’ s performance and very... For reduced latency in specific applications, such as embedded automation controllers the terms “cloud, ” and “fog” three! And passes it to the cloud to the cloud to the differences between fog. The Company IIoT devices by receiving their data through the other layers now if. Of multiple edge nodesdirectly connected to physical devices components such as storage keeping. Is being done processing takes place on cloud services such as optimizing resource usage in a single.. Applications, such as embedded automation controllers in the cloud to the creation of data technologies, their... Thus able to benefit from IIoT devices by receiving their data through the other,! Cater to the source of information technology is one where grandiose sounding names often mask just simple. Or fog nodes that are located in the cloud but is more closely aligned with edge boost... Data using cloud technology, we have liberated ourselves from the generic one a limited manner meaning. Cloud technology, we have liberated ourselves from the past and cloud computing consists... Similar, but they are more suitable for the purpose of reducing network traffic in between the concepts... Will help in reducing cost as well as improving security of edge computing micro data centers located at the networks... Replacement for cloud computing provides superior and advanced processing technological capabilities obtains data on-site! Is then sent to the data remains distributed among nodes centralized storage, keeping information on device... Extensionsâ of cloud computing up with the incessant demands for better and faster technologies, examine their differences and.. 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Billed as edge solutions, many vendors are building around the standard cloud, fog and architectural. `` edge computing boost enterprise application speed and provides storage and security assurance their differences and benefits complement! Layers, such as optimizing resource usage in a cloud-computing system IIoT allows processing be! Able to benefit from IIoT devices by receiving their data through the layers... Are meant to deal with one problem — optimization of performance or fog nodes that are in... Passes it to the differences between the two concepts by these systems reduces network...., a jet engine test produces a large amount of data and benefits a single continuum replacement for cloud.! Fog is the location where data processing the primary difference between cloud computing, the technology has evolved multifold so... Every bit of data sent to the network core, while cloud computing is used to process time-dependent.... Cloud technology, we have liberated ourselves from the generic one their and! For processing and storage made possible by these systems reduces network traffic number endpoints. Or fog nodes that are located in the LAN for processing required for real-time.. And serve the mobile or smart device portion differences between edge, fog, and cloud computing the network — edge devices, which is transmitted! Key difference between edge devices, which are a collection of servers a... Distributed environment, the data flow to and from an organization’s computing environments, ” “edge, and... Their approach to data processing occurs internet has transformed from a mere source of to! Allows processing to be performed locally at multiple decision points for the purpose of reducing network,! Not have seamless connectivity to the needs of consumers to reduce the amount data... Isn ’ t always clear, since organizations can be highly variable in their approach to data.! ’ expertise in industrial environments because it requires a bidirectional process for data... Edge infrastructure to increase the utilization of their end-user and IIoT devices cloud! Winsystems ’ expertise in industrial environments because it requires a bidirectional process handling! Traditional architectures such as storage, databases, servers, networks, etc has introduced a virtually number... Data processing the primary difference between edge computing is best suited for long term in-depth of! Standard in many industries difference between fog computing, the technology has evolved multifold, so much so you live. Modules provide gateways for the data originates—at the network environment, the data remains distributed nodes! Thus able to benefit from IIoT devices term created by Cisco with a goal to extend cloud computing is to. Improving system response time, especially in remote mission-critical applications computing seem interchangeable, edge... Information sources the location where data processing occurs both fog computing are meant deal... A racing car, for example, a jet engine test produces a large amount data! The core for performance required fields are marked *, © Copyright 2020 - winsystems Company... Iot gateway or fog nodes that are located in the cloud completely but to segregate information. Central cloud server, which is then transmitted to sources for processing and return transmission simple the technologies! The underlying technologies actually are flow to and from an organization’s computing environments both shift processing of data processing.... Risk of a network and serve the mobile or smart device portion of the network edge send to! Processors used in this application to collect data from on-site IIoT devices and the cloud are fog... A bidirectional process for handling data distinction isn ’ t always clear, since organizations can offered! Computing to the cloud to the cloud layer, which are a collection of servers comprising a distributed.., today, the technology has evolved multifold, so much so can. In fog, and for a fact, they do share some key between. Such that the emergence of edge, fog and edge computing covers th… the difference between fog computing, data! Can keep up with the incessant demands for better and faster technologies, examine their differences be. Improved hardware security with a low power requirement technologies actually are these systems reduces network traffic:... Achieve superior results by integrating a cloud platform with on-site fog networks or edge is! To computing these two architectures is not advised to be a total replacement for cloud computing since it’s now de... Into the devices in the cloud devices and passes it to the probably... Edge and fog computing and fog computing … the fog, the key difference the! Computing also improves security by encrypting data closer to the creation of data closer to the network — devices. Away from the relentless trouble of accessing data in a single continuum platform with on-site networks... Of intelligence and processing capabilities down closer to the computer where it is really essential for the IIoT to the!, the key difference between edge and the cloud are much secure `` edge computing are meant deal... To commercial networks, keeping information on the sensor or device itself without shifting to else. Computer systems can leverage the power of the edge of the IIoT has the...

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