Overview of the AWS edge computing toolbox – Getting Started with Edge Computing on AWS
The AWS edge computing strategy aims to provide a comprehensive suite of services and solutions that enable businesses to harness the power of edge computing, addressing the challenges of data processing, latency, security, and scalability. By bringing AWS services and resources closer to end users and devices, this strategy allows organizations to optimize their applications
Supervisory Control and Data Acquisition – Getting Started with Edge Computing on AWS
Supervisory Control and Data Acquisition (SCADA) systems are used in industrial settings to monitor and control processes and infrastructure in various industries – including manufacturing, utilities, oil and gas, water management, and transportation. SCADA systems enable real-time data collection and processing from remote equipment, allowing operators to supervise and manage industrial processes from a centralized
Legacy IIoT networking technologies – Getting Started with Edge Computing on AWS
Legacy industrial automation systems relied on a variety of networks and protocols to facilitate communication and control among devices, machines, and systems. Examples include MODBUS, PROFINET, EtherCAT, and Fieldbus. These networks were typically closed systems – islands unto themselves. They were also developed at a time when such devices were limited in number and directly
Specialized requirements – Getting Started with Edge Computing on AWS
Immersive experiences rely heavily on real-time user interactions, and any delay or lag can significantly degrade the user experience. AWS edge computing services can help to minimize latency by processing data closer to the source, thereby reducing the time taken to transmit data between the user’s device and the data center. Services such as AWS
Immersive experiences – Getting Started with Edge Computing on AWS
The term “immersive experiences” includes AR and VR applications, both of which present a unique set of requirements for edge computing. AR Not all immersive experiences involve a user wearing an expensive helmet and gloves like something out of a sci-fi movie. In fact, the majority require only a mobile device such as a phone
Emergence of 5G – Getting Started with Edge Computing on AWS
Most MNOs have upgraded their networks from 4G/LTE to 5G within major metropolitan areas. However, more remote areas of the same networks are still serviced by 4G/LTE. The delay has been economic. The market for mobile devices has largely been captured. Customers want 5G but aren’t willing to pay extra for it. Therefore, MNOs that
Denied – Getting Started with Edge Computing on AWS
In certain situations, network access can be actively denied or restricted due to security concerns, regulatory requirements, or other factors. Edge computing solutions must be able to adapt to these constraints by offering secure and compliant data processing and storage capabilities. The classic example is forward-deployed military command posts. While in hostile territories, they may
Disconnected, denied, intermittent, or low-bandwidth – Getting Started with Edge Computing on AWS
While the specific term Disconnected, Denied, Intermittent, or Low-bandwidth (DDIL) emerged from the US Department of Defense, it captures well the circumstances faced by a group of use cases seen across industries. It refers to edge computing in situations where network connectivity is unreliable, constrained, or completely unavailable. In such scenarios, traditional cloud-based computing approaches
Regulatory compliance – Getting Started with Edge Computing on AWS
Data privacy and sovereignty requirements vary across political entities. Compliance regimes such as the EU’s General Data Protection Regulation (GDPR) impose constraints upon where a given piece of data associated with an individual is physically located. For instance, a US-based company that runs its applications in the AWS cloud might decide it needs to keep
Physics – Getting Started with Edge Computing on AWS
The speed of light is fast, but finite – a rule of thumb is to expect a 1 millisecond of latency for every 100 km of distance a signal has to travel. Keep in mind that this is rarely measured in a straight line on a map. The following diagram illustrates a common situation. In
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