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 […]
Tag Archives | edge computing
Real-Life Use Cases for Edge Computing
Depending on how many of the 30 billion Internet of Things (IoT) devices forecast for global deployment by 2020 rely on the cloud, managing the deluge of IoT-generated data makes […]
Why Does Edge Computing Matter?
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 […]
Study Shows AT&T 5GE is Slower than Verizon and T-Mobile 4G
4G became available to the public in 2009-2011. After that, LTE-Advanced technology was created for a faster connection, but it’s still 4G. All four major cell carriers in the US […]
Verizon Successfully Tests Edge Computing on a Live 5G Network, Cuts Latency in Half
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 […]
3 Key Benefits of 5G
5G networks, the next generation of mobile internet connectivity, are expected to officially launch across the world by 2020, offering unlimited potential to vastly improve our lives. This combination of […]
Free Webinar: IEEE Introduction to EDGE Computing
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.
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.
How the Edge Computing Layer Helps with Latency
By 2020, less than a year and a half away, an anticipated 20+ billion devices will likely be connected via the Internet of Things (IoT), creating incredible amounts of data […]
Living on the Edge of the Internet of Things
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. […]
How Edge Computing Will Drive 5G Technology
Thanks to the Internet of Things (IoT) more and more devices are connected, including homes, heating systems, fitness trackers, vehicles and more. Gartner projects that IoT devices will climb to […]