The initial version of 4G networks was launched in 2009-2011. Since then, LTE-Advanced technology has created a much faster experience, but it’s still 4G. All four major cell carriers have rolled out LTE Advanced service. However, Verizon, Sprint, and T-Mobile accurately call it 4G, while AT&T renamed their 4G service “5GE,” which the company says […]
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.
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 every minute. The time it takes to move data to the cloud, perform service on it and then move it back to devices is far […]
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 […]
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 a total of 50 billion by 2020, up from 20 billion, and this demand will drive the need for edge computing for data collection and […]
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 […]
Edge computing is a distributed, open IT architecture that features decentralized processing power, enabling mobile computing and Internet of Things (IoT) technologies. In edge computing, data is processed by the device itself or by a local computer or server, rather than being transmitted to a data center. Allowing large amounts of data to be processed […]
As Internet of Things (IoT) devices proliferate, so does the data that they produce. As more and more data is produced, organizations are finding it to be a costly endeavor to send, process, and store all of this data in the cloud. In fact, some organizations don’t even have the connectivity within their infrastructure to […]
