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Why Edge Computing is so Important for Internet of Things

The inherent latency of cloud is no longer cutting it when it comes to fully appreciating the benefits of digital transformation. Edge computing is here to solve that problem, and by mitigating the latency associated with the cloud, it ensures that the latest IoT developments are available to businesses across every industry. Alan Conboy, CTO of Scale Computing writes this is the year of edge computing and it’s no surprise why the industry is turning to the trending technology. With only a small hardware footprint, edge computing acts as a high-performance bridge to the cloud, which more organizations are relying on.

IoT Infrastructure

2019 is the year to look seriously at edge computing, as the Internet of Things (IoT) and the global network of sensors steadily increase the amount of data that the average cloud has had to handle in the past. According to a study from the International Data Corporation (IDC), 45 percent of all data created by IoT devices will be stored, processed, analyzed and acted upon close to or at the edge of a network by 2020.

We are living in a world that is increasingly data-driven, and that data is being generated outside of the traditional data center. Edge computing places the physical computing infrastructure at the edges of the network where the data is being generated, and in many cases, those sites are where the data is needed most.

With only a small hardware footprint, infrastructure at the edge collects, processes and reduces vast quantities of data that can be uploaded to a centralized data center or the cloud. Edge computing acts as a high-performance bridge from local computer to private and public clouds.

IoT Needs Edge Computing

There’s a strong argument to say that, by definition, IoT will need edge computing to work effectively and realize its long-term potential. The inherent latency of cloud is no longer cutting it when it comes to deploying machine intelligence and getting real-time results. Edge computing is here to solve that problem, and by mitigating the latency associated with the cloud, it ensures that the latest IoT developments are available to businesses across every industry.

It is especially useful for any industry that has remote sites, such as retail, finance, industrial, remote office branch office (ROBO) and IoT. In retail, for example, retailers need reliable computing that can provide maximum uptime for point of sale, inventory management and security applications for the numerous store locations on the edges of their networks. Banks and other financial institutions with multiple branch offices also require reliable computing to support rapid, business-critical transactions.

Edge computing plays a prominent role in the continuing deployment of IoT devices as the most effective means to process the vast amount of data they produce quickly and effectively. This requirement is only likely to become more pronounced when communication of that data to the cloud may not be reliable or fast enough to be effective.

In the case of ROBO deployments, small branch locations are now increasingly running core, mission-critical applications and the infrastructure they reside on needs to evolve to match the critical nature of the workloads they are running.

Many edge computing sites have very specific computing needs and require much smaller deployments than the primary data center site. Many organizations may have dozens or hundreds of smaller edge computing sites and they cannot afford to roll out complex, expensive IT infrastructure to each site.

Meeting The Challenge at the Edge

But with many applications running on the edge becoming as critical as those in the data center, how can organizations match the resiliency, scalability, security, high-availability and human IT resources found in the data center? How can they address the growing mismatch between the importance of the applications and the infrastructure and IT that supports them at the edge?

To support critical applications with little or no on-site IT staff, edge computing systems have to be more reliable, easy to deploy and use, highly available, efficient, high performance, self-healing and affordable. In many instances, to keep applications running without dedicated IT staff onsite, systems require automation that eliminates mundane manual IT tasks where human error can cause problems.

Important Factors to Consider

Automation also keeps the systems running by monitoring for complex system failure conditions and by taking automatic actions to correct those conditions. This eliminates the downtime that would take a system offline and require an IT staffer to come onsite to bring it back online. Even when hardware components fail, automation can shift application workloads to redundant hardware components to continue operating.

Edge computing infrastructure systems need to be easy to deploy and manage because businesses with hundreds of sites cannot afford to spend weeks deploying complex hardware to each site. They need to be able to plug in the infrastructure, bring systems online and remotely manage the sites going forward. The more complex the infrastructure, the more time they will spend deploying and managing it.

Edge computing systems should also run with as little management as possible. They need to be self-healing to provide high availability for applications without requiring IT staff resources, with automated error detection, mitigation, and correction. Management tasks should be able to be performed remotely and with ease. In addition, these systems should be scalable up and down, dependent on the requirement of the edge location, to ensure organizations are not saddled with excessive overhead for resources they don’t need.

This is the year of edge computing and it’s no surprise why the industry is turning to the trending technology. With only a small hardware footprint, edge computing acts as a high-performance bridge to the cloud, which more organizations are relying on.

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Google Meet Noise Cancellation Works And It Is Fantastic!

Google has started to roll out its latest headline-grabbing feature for its Google Meet video calling: noise-cancelation. David Phelan for Forbes Consumer Tech writes it could be something big as Zoom, Microsoft Teams and other apps compete with each other to win, and keep, new users.

Back in May, Microsoft promised an update which would subdue the noises of dogs barking or keyboards clicking. Now, Google Meet has pressed the button on its own way of making video calls more productive and enjoyable.

After all, we’ve got used to video that varies in quality and that checkerboard effect where a colored outline chases participants round the screen according to who’s talking.

But it’s the audio quality that often suffers in video calls and straining to hear participants over errant noises can be quite tiring, especially for calls that just go on and on.

Like Microsoft’s solution, keyboard noises will be quelled in the Google Meet update, along with that desk fan that’s becoming increasingly essential as the summer continues.

The sound of snacks being consumed will also become less evident in the new, updated Google Meet – though be warned, if your camera is on, the vision of a bag of potato chips being tipped into your mouth will endear you to nobody, even if they can’t hear the crunching that accompanies it.

Google Meet Switches On Jaw-Dropping Feature To Beat Zoom and Microsoft Teams

The Cloud De-Noiser as it’s called uses machine learning to remove the noises but allow what’s being said to still be completely audible. Serve Lachapelle is the G Suite director of product management and he created a demo, seen on Venture Beat, of just how effective the process is.

It’s worth a listen because at times it’s hard to believe just how effective it is. Those potato chip rustlings are especially impressive. Lachapelle talks while he’s rustling the packet and though there is a different audio quality to his voice, every word is audible and understandable, but those pesky chips are as quiet as if you were eating jello. Or something else silent.

The desire to mute those snack sounds originated, Lachapelle explained that video conferencing between his office in Stockholm and offices in the U.S. meant there was a big time difference. Though the Swedish office was coming to the end of its day, the American office was starting, so cereals were being gobbled down Stateside or dinner polished off in Europe. The need to get rid of those noises was what set the project going in the first place. Quite right, too.

It’s being rolled out now to G Suite customers on the web, with iOS and Android to follow.

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CORONAVIRUS Pandemic Prompting Spike In Home Workers

COVID-19 Virus Prompting Remote Work Trend

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