There is a reason why mobile edge computing is believed to be on track to reach $11.2 billion by 2024. In fact, there are quite a few reasons why Internet of Things (IoT) engineers are investing a lot of time in setting up the infrastructure of IoT while relying on edge computing to hold the fort. And that is quite literally the purpose of edge computing. While cloud computing is marvelous and provides networks with a streamlined process of constantly updating and evaluating, not everything in the digital world works perfectly all the time, and for that, and IoT infrastructure needs a backup

Business Continuation In-Network Downtime 

IoT architecture is a fundamental component in the success of an IoT network, and knowing what to connect to the cloud and when to send the information through will determine the success of the IoT network. IoT architects that bring edge computing into their network will need to determine exactly how much of the information can be processed outside of the cloud in the event the network experiences downtime. For businesses that require a streamlined business solution, an IoT network that solely relies on the cloud can lead to substantial financial losses. By engineering a safe zone for processing to take place and then upload to the cloud, or have information available outside of the cloud, will allow the business to continue as usual with a minimal effect on finances. 

Addressing Safety Concerns 

One of the glaring vulnerabilities of an IoT network is safety. Numerous devices are interlinked and grant endless access points for those looking to compromise the network. But it’s not just this safety aspect of IoT that leave businesses vulnerable. There is also sharing too much information to the cloud that can place a damper on the security of a business. For instance, sensitive client information or transactions should ideally take place in a localized network and not necessarily on the cloud. This is to prevent safety breaches. Storage devices such as external USB drives are still crucial storage components of an IoT network for this reason. 

Instant Decision-Making Is Critical 

Not all businesses can afford lag in network speeds for decisions to come through, such as medical professionals who need results or engineering technicians who need to implement safety measures. Edge computing fills the IoT gap that lag causes and with the right processing power in the IoT network, real-time information can filter through to the areas of the network that require it most. This is integral to the success of an IoT network in critical industries and will also boost trust in the system. For businesses, the edge provides a clear barrier between the IoT network and the cloud, allowing the weaknesses of these networks to be minimized. 

IoT receives millions of dollars a year in terms of infrastructure and development, with the biggest focus on securing the system. The right architectural layout will ensure that information that needs to be processed locally and that which needs to go to the cloud have clear and decisive routes to follow, without the risk of lag or security issues to cause an imbalance to the network.

Edge Computing and 5G, supported by continued advancements in machine learning and AI-derived algorithms, will continue to be the key drivers of Big Data analytics and complex real-time analysis at the Edge of networks.

Elson SutantoResearch Author for Edge Processing in IoT

This guest post was contributed by Jackie Edwards. 

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