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The Alchemy of Edge Computing and Edge Communications: All In The Mix

The massive growth of connected devices continues to lead to huge volumes of data generated locally for applications that demand real-time computational processing. We are no longer challenged by “the last mile” but “the last millimeter.”

Centralized cloud computing makes sense for non-real-time applications, but when it comes to automation, surveillance, transportation systems, utility continuity, content delivery and extreme expectations for low-latency solutions, only edge computing, and local mesh networking win the day.

When processing can be performed close to data sources, for example, edge nodes and sensors generating data, often from multiple sources with equipment from multiple vendors, processing at the physical edge supports innovations including real-time field service, monitoring, management, and predictive and prescribed maintenance.

Advanced edge mesh frameworks combine many technologies, associated with data collecting, analytics, tasks, and resource management, supporting AI and deep machine learning, which work in harmony and become even more intelligent and efficient over time.

The Alchemy of Edge Connectivity, Compute (and Security)

We continue to witness a huge explosion of the Internet of Things (IoT) that incorporates numerous devices interconnected to compute and communications infrastructure.

Beyond the number of devices and the terabyte data that is growing exponentially, IoT and especially Industrial IoT (IIoT) is said to have a potential economic impact of$11.1 trillion by 2025 according to a McKinsey report.

The IoT and IIoT have evolved into a network of devices of all types and sizes, from smartphones and cameras to autonomous vehicles, smartphones, medical health monitoring instruments, vast industrial systems, smart cities, smart buildings, and smart utilities.

Today, the majority of the IoT/IIoT systems are built on a centralized server “in the cloud” for computational purposes. Low-level IoT devices are used for sensing purposes and the collection of data, while the analysis and management of the data for enhanced decision-making are performed in a traditional cloud computing approach.

Given advances in every layer of the stack, centralized models are becoming bottlenecks in the processing of data and are driving the need for increased bandwidth, driving up costs, while not providing the speed and immediacy advanced solutions require.

The transportation of huge volumes of data in the network is having serious, negative effects on scalability and bandwidth costs, while not producing the outcomes solutions are designed to achieve –for example, more automation, greater local insights, new control systems.

Edge computing provides an intermediate infrastructure at the source, with no hyperscale clouds necessary, reducing latency and improving machine and human experiences.

The promise is simple: for novel services at the edge, organizations can reduce connectivity cost, add layers for storage and processing, and support methodologies and algorithms for the management of data, nodes, devices, and operating systems.

Edge mesh networking provides a computation processing overlay by orchestrating edge nodes of different types to create a “cooperative” local infrastructure that is highly intelligent and economically efficient.

Today we are beyond the cusp of the advent of 5G networks and are finding ourselves surrounded by an exponentially growing number of communication hubs, from 4G macrocells to 5G microcells making tiered data management and limited latency combinations possible.

At a truly intelligent edge, edge computing platforms become edge computing and communications platforms, harmonizing resources, reducing latency, delivering more consistent experiences, and bottom line –fueling innovation.

What are organizations really looking for from edge computing and communications?

End customers want to solve their business challenges. As evidence continues to flood the market, especially in industries including manufacturing, utilities, smart buildings, and smart farming, that better results happen when local systems are optimized, more IT leaders are taking IoT/IIoT seriously.

In our years of working with our customers and partners, across many industries, we have learned that the end customers –the government agencies, enterprises, utilities, service providers, and managed service providers–seek an integrated approach that includes device to edge and then to cloud.

Modern Key Performance Indicators(KPIs) are often established based on the time it takes to perform an action, the cost it takes and the cost it saves, and the quality of experience (QoE) customers perceive.

Challenges come when the heterogeneity of products that must be integrated and communicate in a short time brings complexity to the project.

For this, the appropriate APIs and protocols need to be implemented with “wrappers” towards a holistic, approach that supports intelligent analytics and actions based upon the collected data. Increasingly, the facilitation of AI and ML algorithms against huge volumes of data can be consistently orchestrated locally and in real-time.

By combining edge computing with edge mesh networking locally, and extending edge to cloud computing with 5G, we can convert base metals into gold and achieve a universal elixir. Our security software in every layer makes everything secure.

Edge computing and the edge mesh support an intelligent infrastructure close to end-users, supporting services that can be enhanced with huge volumes of data collected by numerous devices.

While the first objective is the minimization of the latency that users and machine applications enjoy when requesting the execution of various processing activities, the goal of dramatically improved business outcomes brings with it new challenges for the IT and OT teams responsible for “keeping the trains running.”

Veea is passionate about addressing these challenges and advancing the community of edge and cloud computing and communications to drive value through the simplification of operations across multiple vendors, frameworks, and protocols.

The Veea team continues to build our platform and related innovations with a focus on adaptive approaches that benefit from local, contextual, real-time connected systems.

The technologies that used to only exist in the world of science fiction are now becoming real, from robotic process automation to remote microsurgery for rare conditions, where a surgeon halfway around the world can save lives.

When we think about edge computing and mesh networking, synchronized with 5G and in a few years 6G wireless distributed networking in a holistic way, we bring more than great ideas to market. We light the pathway forward for life-changing, world-changing, problem-solving innovations.


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