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 devices will generate unprecedented amounts of raw data by 2021. This problem will demand next-level responsiveness and reliability— and it’s just two years away. Edge […]
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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 using a centralized data center. They were able to successfully identify an individual twice as fast using the MEC, proving that analyzing information right at […]
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.
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). He is an ACM and IEEE 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 local analytics of edge computing mean faster response times, reduced storage costs, and optimum use of bandwidth, while also supporting data privacy and compliance […]
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 potential to disrupt a wide variety of industries. Consumer products are expected to be the largest vertical in terms of IoT spending by 2020. Others […]
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. eLearning has proved to be 25-60% more effective than traditional face-to-face learning. Not only is eLearning more effective, but it also saves more than half the […]
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 personal digital assistants and more. Future growth depends on reducing latency and increasing bandwidth and privacy. That’s where edge computing comes in. Coming to the […]