What Are Edge Computing and Its Advantages?
What Are Edge Computing and Its Advantages?
The notion of a cloud or "edge" in relation to a network represents a division between what users see on the edges of their networks, such as the edges of their desktops, printers, modems, etc., and the central store of all user data and applications on the same network. The central store is often called the "cloud", but for the purpose of this article, we will adhere strictly to the usage of the term "edge". Cloud computing is also a distributed computing model that brings data and computing closer to the point where it's needed, to speed up response times and enhance bandwidth. This means that one can be running applications (and storing data) in the cloud even when they are not in the physical vicinity of the edge network - a technique commonly referred to as "clustered computing". You can click this link for more details about edge computing.
Cloud computing has gained momentum as a solution to a number of challenging industry problems, and it has been particularly effective in the data center environment. A prime example is 5G technology, an edge technology that makes use of an Ethernet over Wi-Fi principle to enable secure connectivity over a private Local Area Network. The advantages of such a system are obvious: first, secure, real-time applications can be executed anywhere there's a decent connection to the internet; second, lower energy usage and maintenance costs as no wiring is required; third, greater control over the availability of servers as they are not tied down by peripheral failure. The disadvantages are few and minor: primary concerns revolve around compatibility with current infrastructure (i.e., ease of provisioning, cost, ease of management), lack of portability, and lack of control over the availability of servers. The latter concern is offset by the former, making it quite practical to deploy a private, virtual network for mobile, if not permanent, processing. Find out abou edge computing by visiting: hivecell.com.
Examples of typical IT workloads in the enterprise include application development, database administration, e-business, gaming, time tracking, etc. With a general trend towards centralization, organizations have begun migrating their important work to cloud computing services such as Microsoft Office and Amazon Web Services (AWS) in order to eliminate capital expenses and improve performance. In addition to savings on expensive on-premises software, organizations gain security, flexibility, extended functionality, and access to multiple data sources at the same time. Centralized processing and storage capacity tend to outperform local processing and storage because they are designed for real-time use cases. Many IT departments also report that they are able to better support end-user requirements for e-commerce and content publishing because the infrastructure is more flexible and reliable.
However, even with significant benefits of cloud computing, its cost-effectiveness can sometimes be questioned. A prime example is Netflix's decision to spin off its pay-per-use video service into its own cloud called Netflix Instant. To date, Netflix's streaming service continues to face high traffic and latency issues, despite having thousands of servers spread across the world. Although Netflix has claimed that its Instant service is scalable beyond any existing service level, experts suggest that it will take time before the company can boast about the degree to which it reduces latency and traffic.
Latency reduction and traffic reduction are not the only benefits of EOL or edge computing, however. Many companies have realized the potential of this technology for reducing capital expenditures by allowing customers to access hosted real-time applications in the clouds without the need for installing and maintaining custom software on-premises. By running workloads in the clouds, companies can eliminate application deployment costs, which can add up to around 15 percent of overall IT costs. Through the use of EOL and other tools, companies can even reduce customer downtime.
Aside from reducing costs and eliminating the need to deploy costly on-premises software, there are many other advantages of EOL and edge computing. One of the most prominent benefits is the use of real-time analytics, which greatly enhances customer service and product fulfillment. EOL provides users access to real-time analytics through a variety of device technologies including cellular, automobile, enterprise wide, and web based services. Through the employment of mobile, web, and automotive technologies, EOL enables companies to utilize the benefits of centralized cloud data centers and reduce operational expenses, while maintaining close proximity to their customer.
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