“As the number of Internet of Things and Industrial Internet of Things devices continues to increase, the amount and speed of data generated by them also increases. In order to cope with the ever-increasing amount of data, the computing edge is deployed to reduce the burden placed in the cloud and data center. So, what are the computer hardware requirements for edge computing?
As the number of Internet of Things and Industrial Internet of Things devices continues to increase, the amount and speed of data generated by them also increases. In order to cope with the ever-increasing amount of data, the computing edge is deployed to reduce the burden placed in the cloud and data center. So, what are the computer hardware requirements for edge computing?
What is a rugged edge computer?
Rugged edge computers are industrial-grade rugged computers that are specially designed and manufactured to withstand deployment in volatile environments. Through sturdy function and design, they have high durability. Everything from the outer shell to the internal components has been tested and verified to operate reliably in the most unstable environments.
Edge computing hardware needs to be rugged, compact, with sufficient storage space, rich in connectivity options, with a wide range of power, and to meet the performance requirements of the tasks it will perform. Edge computers must meet these requirements because they are usually deployed in harsh environments that must be reliable and perform optimally. For example, if an edge computer is deployed in the field of oil production, it must be able to handle environments exposed to extreme heat, dust, and debris. Now, we will discuss the hardware requirements of edge computing in more detail below.
1. Edge computers must be rugged and fanless
Edge computing hardware must be robust enough to withstand deployment in a volatile environment that is susceptible to frequent shocks, vibrations, dust, debris, and even extreme temperatures. The main feature of the rugged edge computer is its fanless design. The fanless design eliminates the need for an open cooling system with vents, allowing edge computing hardware manufacturers to create a completely closed system. The closed system eliminates the possibility of dust, dirt and debris entering the system and damaging sensitive internal components.
In addition, the fanless design and wide temperature components used in edge computers allow them to withstand extremely cold and extremely hot temperatures. In fact, the system is so robust that they have a wide temperature range from -40 °C to 85 °C. This is a conventional desktop computer that can only withstand exposure to a very different temperature range from 5 °C to 40 °C, which is significantly limited in the environment where ordinary desktop computers can be deployed.
In addition to handling extreme temperatures, rugged edge computers can also cope with frequent shocks and vibrations by using a cable-free design in which all cables are removed from the system. The removal of the cable eliminates the possibility of the cable becoming loose, making the system inoperable.
In addition, fans have been eliminated from edge computing hardware. The reason for this is that fans are a common point of failure in many Electronic devices and computers. Therefore, eliminating them makes the system more reliable and durable, and eliminates the downtime that enterprises or organizations may face due to fan failures or failures.
Ultimately, edge computing hardware can now be deployed anywhere in the world, while processing the most variable environmental elements, while providing the best and reliable computing power.
2. The edge computer must be equipped with a sufficiently sturdy storage
Edge computers are usually deployed at the edge to collect, process and analyze large amounts of data collected from industrial IoT devices, because such edge computers must be equipped with a sufficient amount of storage space to quickly store and access data.
Edge computing solutions can be configured with solid state drives (SSD) or hard disk drives (HDD). A single enterprise’s premium SSD can save data and terabytes with faster data transfer speeds than hard drives.
In addition to providing high-speed data storage, solid-state drives make edge computing solutions more robust because they store data on NAND chips, which are different from hard drives on spinning metal platters, which store data. Silicon chips can better handle exposure to shock and vibration than spinning metal discs. In other words, for organizations that require large amounts of data storage, hard drives can be added for other storage.
3. A sturdy edge computer must have abundant I/O
Rugged edge PCs are equipped with a wealth of I/O ports, because they usually have to be connected to new and old factory machines, equipment, and equipment at the same time. For example, edge computers are usually equipped with the following I/O ports: USB ports, COM ports, Ethernet ports (RJ45/M12) and general I/O ports. Edge computers include general-purpose I/O (GPIO) ports, because they can accommodate a large number of peripherals, sensors and devices without general-purpose interfaces, such as USB ports or old serial ports.
Devices that can be connected to the GPIO port include sensors, alarms, motion detectors, and production line controllers. Ultimately, GPIO ports allow edge computing hardware to connect to other devices, no matter how old they are. As long as the device or sensor is working properly, you can connect it to your edge computing solution.
4. Edge computing hardware must have a wide power range
Edge computing hardware is usually deployed in environments that rely on different power inputs; therefore, they are equipped with a wide power range from 9 to 50 VDC, making them compatible with a variety of different power input schemes. In addition, the edge computer also has a variety of power protection functions to protect the system from electrical damage. These power protection features include overvoltage protection, reverse polarity protection and surge protection.
5. Edge computers must be secure
Edge computing devices are usually deployed in remote environments that are not monitored, so they must be secure. Fortunately, the edge computing device is equipped with a Trusted Platform Module (TPM) 2.0. TPM 2.0 uses a technical cryptographic processor to make edge computers tamper-resistant by fixed hardware through integrated cryptographic keys. TPM 2.0 protects the system from brute force attacks and hardware theft.
6. Edge computers need to support performance accelerators for real-time processing
Edge computers are very suitable for collecting, storing, processing and analyzing data at the edge; however, for some complex industrial workloads, edge computers should be equipped with performance accelerators to make real-time processing decisions. The new calculation and storage design make the performance as close to the data as possible. As more processing power moves to the edge, here are some of the most popular performance accelerators used in edge computing solutions. These additional hardware solutions through the PCIe architecture provide added value for specific edge computing workloads that require real-time processing performance.
Multi-core CPU: Multi-core sequential processing allows the processor to use multiple cores to process data, and each core acts as a separate processing device, allowing multiple tasks to run at the same time (running more tasks at the same time). The more cores you have in the CPU, the better the performance of the system, because it can handle multiple processes at the same time.
GPU: As the network edge and the network edge more and more perform workloads, the role of accelerators will continue to become more and more important. Data center and cloud. Performance accelerators deployed at the edge can handle tasks-real-time low latency of critical data, because the PC deployment at the edge is close to the source of data generation. GPU uses rich cores, so it is very effective in real-time processing and inference analysis. Compared with parallel CPU.
VPU: The vision processing unit is a performance accelerator that can accelerate machine vision algorithms. This is because the VPU is specifically optimized for machine vision, machine learning, artificial intelligence, facial recognition, and high-end image processing, while using a GPU with less power ratio. This makes VPUs an ideal choice for fanless computers, which require components that generate very little heat and consume very little power. Overall, the VPU’s low power consumption and thermal footprint make it an ideal choice for us in rugged edge computing solutions.
FPGA: Field Programmable Gate Array (FPGA) is a performance accelerator used to optimize embedded systems for specific workloads. FPGA can speed up the workload, such as reasoning analysis, artificial intelligence, and analysis of large amounts of data used for machine learning. In some cases, high-end FPGAs can outperform GPUs in performing certain tasks, while the power consumption and heat generation used at the same time are lower than GPUs.
NVMe computing storage: NVMe computing storage devices perform data storage and processing locally on the drive itself, thereby deploying computers at the edge. This is done by processing the data locally on the drive. Traditionally, computers process data and process it by requesting data from a storage device and passing it back to the CPU. It requires the storage drive itself to perform operations and has the ability to process, store and store on the drive itself. In this way, data no longer needs to leave the drive for processing or route back to traditional CPU data blocks, thereby reducing more delays in critical task processing moments.