Many organizations are already exploring how this innovative architecture differs from more traditional cloud deployments to better understand how their business can benefit from moving to the edge.
In simple terms, edge computing pushes data processing away from a centralized server and closer to the outer “edge” of the network where most data is generated and gathered. Unlike traditional cloud deployments in which data is collected and transmitted to a central server for analysis, edge networks keep that data on the periphery, analyzing and applying it
Edge computing deployments are often part of a wider fog computing architecture, which uses localized data
Since edge computing locates processing tasks closer to the edge of the network where data is gathered, it reduces the physical distance data has to travel. Contrary to popular belief, data does not move from point to point instantaneously. Latency, or the time it takes for data to move from its point of origin to its destination, results in slow network performance, which can be devastating for many services. By pushing processing tasks closer to the outskirts of the network, edge computing can cut down on latency and reduce the volume of data traffic that consumes limited bandwidth to deliver
Edge computing can cut down on latency and reduce the volume of data traffic that consumes limited bandwidth to deliver better, smoother network performance.
Edge computing infrastructure offers tremendous flexibility, allowing companies to integrate and connect systems that could not otherwise communicate over a traditional cloud network. As innovative new technologies in the automotive,
By pushing processing functions closer to the edge of the network and offloading that data analysis to smart devices and smaller data center facilities, companies can rapidly scale operations more effectively than ever before. Instead of making huge investments in cloud infrastructure, edge computing allows them to add new computing and storage resources organically and as needed. This can help to eliminate the inefficiencies that often result from less targeted data infrastructure growth.
Centralized networks always present a risk for organizations that provide extensive online services. If the servers go down, the entire network goes offline with them. The distributed nature of edge computing networks, however, make it possible for data collection and processing to carry on even if the core of the network goes down. Devices can continue to function, diverting critical processing operations to alternative destinations and storing other data locally until the primary servers are back online. Even if a
Even if a cyberattack compromises a component of an edge network, the distributed nature of the system makes it possible to isolate the breach quickly before the infection can spread.
Whether it’s startups hoping to rapidly scale their computing resources or established companies building improved customer experiences, edge computing offers substantial benefits to organizations hoping to capitalize on opportunities in emerging markets. With more devices leveraging internet connectivity and demand for streaming content on the rise, companies need to position their networks to deliver faster services that can keep pace with the economy of the future. Edge computing’s ability to enhance performance and flexibility makes it a natural fit for companies looking to expand network reach and locate services closer to their customers.
The popularity of edge computing has led to the development of data centers capable of providing the services these networks need to maximize their potential. While there is no definitive definition of an edge data center, they tend to be smaller facilities that allow companies to provide cloud computing and streaming content to local end users with reduced latency.
There are a few qualities organizations should look for to distinguish an edge data center from a more traditional enterprise-level data center:
It primarily services local markets: Edge data centers should be located near end users who are utilizing its services on a regular basis.
It’s part of a broader network: An edge facility is typically connected to a larger data center that provides more robust cloud resources and extensive storage capacity. It may also be integrated into a network of several edge facilities, each one capable of storing and caching data to server end users more effectively.
It delivers fast services: Speed is the primary asset of an edge data center, made possible by delivering services to users with minimal latency.
It’s not a
One of the major benefits of edge computing is that it allows companies to realize the potential of the internet of things (IoT). An IoT device is any network-enabled product that can generate and receive data. Advancements in processor and memory miniaturization have made it possible for them to analyze and store data far more effectively than ever before. Combined with edge computing architectures, IoT devices are already transforming the IT landscape:
There will be 20.4 billion IoT devices by 2020
By 2020, 90% of automobiles will be connected to the internet
Companies will invest $15 trillion in IoT between 2017 and 2025
Every second, another 127 devices are connected to the internet
Industrial IoT devices are expected to add $14 trillion to the global economy by 2030
The IoT market is expected to grow significantly in the next few years, with manufacturing, transportation, and utilities likely to see the biggest benefits. Commerce has already been transformed by IoT devices, offering greatly improved customer experiences and helping people make purchasing decisions more efficiently. Smart IoT devices can also deliver clear benefits to organizations, generating data that will allow them to deliver better products, services, and experiences. Remote monitoring, predictive analytics, and automated maintenance will make it easier than ever for manufacturers to optimize their products and build brand loyalty.
Advancements in processor and memory miniaturization have made it possible for them to analyze and store data far more effectively than ever before.
Innovations in IoT devices will also allow companies to maximize efficiency and flexibility in their
Self-driving vehicles are inching closer to reality every year, promising to bring massive amounts of data (at least 30 terabytes a day) with them. Edge computing architecture will be crucial to managing this data, as well as facilitating the vital machine to machine (M2M) communication necessary to keep vehicles apprised of potential hazards and other driving conditions. Many cities are already incorporating the principles of edge computing to prepare for the coming driverless future, transforming into “smart cities” with the potential to enhance all forms of network connectivity.
Edge computing architecture will be crucial to managing this data, as well as facilitating the vital machine to machine (M2M) communication necessary to keep vehicles apprised of potential hazards and other driving conditions.
With the development of 5G technology to provide faster connection speeds than ever before, mobile networks are helping to make IoT devices and edge computing even more effective. From augmented reality programs that have the potential to enhance consumer experiences and industrial applications to secure edge gateways that provide far more effective protection against cyber attacks, the telecom industry is already working to capitalize on the opportunities these innovations present.
Complex interconnected systems have always made it difficult for the manufacturing industry to deploy the latest technology to enhance productivity and efficiency. Armed with edge computing and IoT devices, however, they now have the ability to create more streamlined networks that make it easier to manage supply chains and streamline industrial processes. Decentralized IT architecture powered by edge computing applications will allow startups to get underway faster and help established companies to expand operations and access new markets.
Connectivity and data security challenges have long combined to form a significant obstacle for the healthcare industry to overcome. With IoT devices powered by edge computing, medical professionals now have the ability to gather and process data more effectively, reach patients in areas with limited network access, and streamline their supply chains. These innovative solutions will also make it possible to offer improved patient experiences and deliver significant cost savings through productivity and efficiency gains.
As IoT devices become more common and customers demand faster, more streamlined services, organizations have a vested interest in shifting data processing to the edge of their network infrastructure. By doing so, they can deliver services faster and maximize the effectiveness of their IoT enabled products.
Larger organizations can protect their brands and secure the loyalty of their customers by providing lightning fast, flexible services with edge computing strategies. As edge architectures become more widespread, edge data