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Common terms people need to know about edge data centers

2019-12-03

Data, equipment, and distributed computing are all important components of edge computing facilities. People need to understand edge computing components and how to use them at work.


Many businesses are now using edge data centers to process real-time data. This technology helps solve the bandwidth and throughput issues of data center infrastructure and network connected devices. With the advent of the Internet of Things and newer cloud computing models, people may hear more about edge computing.


But the implementation of edge computing technology does not mean that enterprises can build and deploy data centers anywhere. They need to understand their performance and maintain all connected data processing equipment around the enterprise network. At the same time, they must pay attention to security and licensing issues.


Understanding the following concepts will not only simplify the installation process, but also understand the potential issues that arise when applying hardware to edge computing facilities.


1.Raw data

Raw data is data collected by the enterprise but not applied to any particular use case. Sometimes it is automatically saved to the database before any processing takes place. This raw data can come from various devices and infrastructure components in the enterprise IT network.


2.smart device

A smart device is any device, machine, or instrument with computing power. In addition to computers, cars, home appliances, and medical equipment are also included.

With the hype of the Internet of Things and the increase in the number of smart devices used by consumers and businesses, the industry is working to resolve network connectivity issues with edge data centers. This brings device relationship management software and a new version of the Internet Protocol IPv6. Edge computing brings data processing capabilities closer to the source of generation.


3.Remote Office / Branch Office

A remote office is a field site located outside the corporate headquarters. It operates in a similar way to corporate headquarters, but is usually smaller and can accommodate specialized services or business units. These sites typically have less on-site hardware and no dedicated backup and recovery staff, which makes them ideal for edge computing deployments.

IT departments can have difficulty managing these remote offices because employees cannot access these remote office settings every day to resolve issues and ensure smooth operations. Nonetheless, setting up monitoring and management resources is critical to accurately understand the infrastructure owned and operated by all companies in these edge data center locations.


4.Distributed Computing

Distributed computing is the use of shared software resources across multiple computing systems to allocate processing requirements. Using multiple distributed computing systems can help businesses increase efficiency and performance because resources can be centralized without maximizing processing units or graphics cards.

For enterprises, this setup usually means placing different business processes throughout the IT framework, such as client / server communication models and grid computing. Each option provides different configurations for data collection protocols and processing speeds, which may vary depending on the needs of the edge data center deployment.


5.Light out management

With the right technology, Light Out Management (LOM) allows managers to remotely monitor and manage servers. The hardware for this setup is included in the module and logging software that tracks the microprocessor utilization and temperature in the edge data center.

Possible remote operations include reinstalling the operating system, alert settings, fan speed calibration, troubleshooting, restarting, and shutting down the server. All activities are collected in an event log for management review as needed.


6.Configuration drift

Because maintenance personnel are not always on-site at edge data centers, they sometimes fail during maintenance. Configuration drift is caused by inconsistent or temporary infrastructure updates and poor documentation on the network. As potential security breaches increase, this random process can lead to disaster recovery and high availability system shutdowns.

Database tools and software can help prevent configuration drift and security issues. It is also helpful to keep a detailed log of hardware network addresses, the latest software versions, and recent applications.

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