Edge computing is a decentralized alternative to cloud computing that uses a number of smart devices around the “edge” of a network to store data. With the rise of 5G […]

Edge computing is a decentralized alternative to cloud computing that uses a number of smart devices around the “edge” of a network to store data. With the rise of 5G […]
Edge computing for business can increase the speed of data processing and analysis. The Internet of Things (IoT) is expected to grow significantly, predicted to reach about $1.6 trillion USD […]
Edge computing improves the way businesses collect and analyze their data by processing information near the source as opposed to in the cloud. It provides real-time information, which allows companies […]
With the constant growth of connected devices, as well as persistent phone and tablet use, traditional centralized networks may soon be overwhelmed with traffic. Gartner predicts that 25 billion connected […]
At Verizon’s newly formed 5G testbed in Houston, engineers recently performed a facial recognition test using a Multi-access Edge Compute (MEC) in the network facility with MEC platform software and […]
Registration is now open to attend the free webinar “IEEE Introduction to EDGE Computing.”
Edge computing allows smart applications and devices to respond to data almost instantaneously, as it’s being created, eliminating lag time, which is critical for technologies like self-driving cars. Learn about this transformative concept in cloud computing and how it will impact technologies far and wide from some of the leading voices in the field.
Our Presenters:
Mahadev Satyanarayanan (Satya) is an experimental computer scientist, a founding pioneer in edge computing, mobile computing, pervasive computing, and Internet of Things. He is the Carnegie Group Professor of Computer Science at Carnegie Mellon University (CMU).[1] He is an ACM[2] and IEEE[3] fellow. In his research career, Satya has focused on the performance, scalability, availability and trust challenges in computing systems that reach from the cloud to the mobile edge of the Internet. He has pioneered many advances in edge computing, distributed systems, mobile computing, pervasive computing, and the Internet of Things (IoT).
Dr. Weisong Shi is a Charles H. Gershenson Distinguished Faculty Fellow and a Professor of Computer Science at Wayne State University. There he directs the Mobile and Internet Systems Laboratory, Connected and Autonomous Driving Laboratory. He is an IEEE Fellow and a Distinguished Scientist of ACM. He was the founding steering committee chair of ACM/IEEE Symposium on Edge Computing (SEC), the author of the first Edge Computing book.
The Internet of Things (IoT) is ever expanding, with billions of touchpoints constantly requiring attention. Eventually, only cost-effective edge infrastructure will be able to keep up with IoT data processing. […]
The Internet of Things (IoT), is a vast and growing universe of connected products ranging from fitness trackers and smart TVs to self-driving cars and virtual assistants. It has the […]
The IEEE eLearning Library is an excellent resource for continuing professional education, offering hundreds of hours of courses designed to keep engineers up-to-date on emerging technologies and trends. As a […]
With the growth of the Internet of Things (IoT), artificial intelligence (AI) is already part of our daily lives. It’s a key component of our smartphones, our GPS systems, our […]