Decentralizing IoT from Cloud to Fog

2018-02-23T07:41:04+05:30

Cloud technology provides businesses with a unique way of eliminating the need for maintaining physical resources. An important benefit of using the cloud technology is the advent of the Internet of Things (IoT). IoT refers to implementing the use of modern networks in all common applications to create smart devices for traditional and even mundane functions. Here, we describe what cloud-based IoT offers and how it is now moving from the cloud to take the advantage of fog computing.

Cloud-based IoT

Traditional IoT solutions are based on utilizing the power of the modern computer networks. With large datacenters available, they offer the processing and data storing backbone which is required by cloud services. IoT solutions are extremely efficient, when it comes to reducing the need for setting up hardware resources.

Devices can act smartly by sending data to a cloud server, which can arrange, store and process the data to produce useful results. However, with an increase in the number of devices, it is possible to support them, but the required internet resources can become very large in commercial and industrial applications. Currently, smart devices are present in different applications. With more smart devices around and a serious demand for IoT solutions, there is certainly a need to look for more innovations. Modern cloud-based IoT solutions may reach a ceiling where further improvement may not be possible. However, there are various methods that can be implemented within the current IoT practices to significantly improve the bar and raise the ceiling to a new standard.

Fog Computing Arrives

Fog computing is the principle of decentralizing data handling and processing  smart, IoT devices. This is accomplished by processing the available data and numbers, as close to the original source of sensors as possible. This is also termed as edge-computing and combine the elements of decentralized computing with the ability to general statistics from a central solution.

Decentralization Advantages

Fog computing decentralizes the processing requirements for smart devices. This allows their use in a variety of environments, where the processing needs keep changing from time to time. It allows the installation of computers closer to the sensors that can take care of the basic data processing needs. This can result in the creation of data, which is smaller in size and does not have redundant elements that are often present in a large IoT network. Another advantage is that it allows the use of IoT in population situations where the number of devices is simply too large to be directly connected to the cloud.

Harnessing Fog Computing for distributed IoT Application

2018-01-31T06:28:42+05:30

Harnessing Fog Computing for distributed IoT Application

One of the amazing applications of the internet of things (IoT) is to move away from centralization and look for solutions that use a distributed architecture. This is possible by employing the processing capacity of every device in the smart system to ensure faster functionality, with the ability to process a greater volume of data.

One way of empowering distributed IoT application is to harness the power of fog computing. Here, we define this method and the benefits that it offers:

What is Fog Computing?

Cisco came up with this important term, which describes the use of cloud computing in an extended manner. This is possible by bringing the available computing power close to the network of the enterprise which requires the IoT application. This technique allows for improved networking, better intra-device communication, and the ideal utilization of computing power. These are all elements that have the capacity to empower distributed IoT solutions in the following manner:

The Improvements

The increasing number of smart devices means that they are producing large volumes of data that may be difficult to process. Fog computing ensures that it is possible to process of this data as close to the edge of the network as possible. This greatly reduces the load on the external network and ensures that you can control the size of your universal database, by distributing information to local databases as much as possible.

Other improvements include increased efficiency and the ability to employ all available resources in a network. When used properly, fog computing can allow companies to come up with enhanced distributed IoT solutions that are perfect for handling  large number of devices found in enterprise networks.

The Application

Applying fog computing in an IoT application is certainly a recipe for success. The application starts by selecting an ideal platform, which is capable of performing fog computing. Companies like Amazon and others are now bringing in solutions that you can use to set up fog computing.

These IoT solutions are properly set up by using local databases and data compression schemes. The common processing tasks are carried out near the sensors which are generating the data, and then the prepared information is coded using a standardized data compression technique.

Cloud scale processing is significantly reduced by locally storing the data and then processing it using resources that are otherwise free. Amazon Web Services can be used to create such a horizontal IoT platform which can provide the required functionality in a multitude of settings. The application for fog computing also includes security methods, so that the processed information cannot be used by unauthorized personnel and devices.

An IoT application certainly becomes more powerful, when employed with fog computing. It has the capacity to reduce the workload on internet servers and improve the current generation of smart solution. With fog computing, there is certainly no limit to the scalability of a distributed IoT application too!