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What Is Real Time Edge Computing?



Edge Computing is an emerging field of computer design that combines the advantages of virtualization with centralized information management to provide real-time access to processing resources. This enables organizations to take advantage of cloud computing, off-site data backup, and advanced telephony, video conferencing, and remote access solutions to reduce IT costs and boost productivity. Organizations that adopt this new computing paradigm can reduce IT costs and increase operational efficiency while reducing the environmental impact of information management. Companies that embrace this computing model can significantly reduce their IT budgets by migrating legacy applications to a hosted managed service platform at the enterprise level.

The benefits of leveraging off-site, central processing power to accelerate business applications are obvious in terms of energy savings and a reduction in operational complexity. With information technology investments in information centers continuing to pour through the roof, the benefits of using a virtual data center to host key enterprise applications are becoming more clear. A virtual datacenter provides superior central processing unit (CPU) performance; higher density capacity for less power usage; and optimal utilization of available resources for cooling and thermal management. With the right technology, a well-designed cloud-managed services platform offers a highly cost-effective and energy-efficient means of delivering high-speed, low-cost, centrally managed access to corporate data centers and the supporting infrastructure.

Virtualization enables the execution of parallel applications on remote machines with complete security and stability. Virtual machines can be provisioned for use in different operating systems and can be easily administrators remotely via remote access software. Using virtualization to implement edge computing allows companies to make the most of their IT budgets without making hardware purchases for a data center. For example, large cloud-based companies could scale up virtual machines, add processors, and run microdata servers on a fraction of the resources that would be required by running servers at the business or government levels.

One of the key reasons why users are gravitating towards Cloud-based applications is their increased speed and lower costs. The internet is one of the fastest-growing mediums for delivering and consuming information. Companies have found that it saves money to use real-time web analytics tools that are available through the Amazon Web Services (AWS). Real-time web analytics tools can help businesses determine their user demographics and market trends, which then enable them to take pre-emptive measures to mitigate any negative effects such factors may have on their bottom line. Amazon Web Services also offers a great deal of flexibility to its customers in terms of deployment, scalability, and maintenance.

For cloud service providers to compete on an equal footing with their traditional Internet service providers, they must adopt innovative strategies to reduce latency and boost resiliency. These strategies can be implemented by developing the latest networking technologies and introducing new hardware designs. Companies may also choose to implement new networking protocols for instance MPLS, L2TP, or GRE over IP. Companies that rely on data obtained from a recent survey conducted by IBM Technology Consulting Europe, found that the average response time for a Web request is around 50ms. This response time is caused primarily by network delays, browser bugs, downloading programs, and network traffic. It is therefore important to reduce network traffic and latency to increase response time.

To take advantage of improvements in edge computing, organizations need to have a comprehensive plan. The strategic goals of the organization should be analyzed. A business process management solution, enterprise service provider, or cloud service provider can then be deployed. Organizations need to determine how the edges of their network will be exploited and how new technology will be introduced. Organizations may also want to share their data processing resources with other companies or form partnerships to acquire the processing power of larger cloud vendors.

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