MSECT

Background - Definition

• Edge computing is optimization of cloud, to move the computer close to the source, to the edge.
• Driven by a need to overcome cloud overhead in latency and bandwidth and a demand for more local processing,edge computing is poised to enable billions of new IoT end-points and real-time local artificial intelligence/machine learning (AI/ML) for autonomous systems.
• Edge computing allows smart applications and devices to respond to data almost instantaneously, as it is being created, eliminating lag time, which is critical for technologies.
• Edge computing is a decentralized model which places computing nodes closer to the source of interaction.
• Edge computing is a model where “information processing and content collection and delivery are placed closer to the sources, repositories and consumers of this information.”
• Edge computing optimizes technological interactions and reduces latency at the point of origin to enable more effective and real-time data consumption.
• Edge computing is quickly becoming the most efficient path for localized interactions.

Edge computing is optimization of cloud, to move the computer close to the source, to the edge. Driven by a need to overcome cloud overhead in latency and bandwidth and a demand for more local processing, edge computing is poised to enable billions of new IoT end-points and real-time local artificial intelligence/machine learning (AI/ML) for autonomous systems. Edge computing allows smart applications and devices to respond to data almost instantaneously, as it is being created, eliminating lag time, which is critical for technologies