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 proper processing seem near impossible. Furthermore, traditional cloud computing has serious disadvantages, including data security threats, performance issues, and growing operational costs. Because most data […]
Tag Archives | edge computing
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 […]
4G was initally released to the public in 20009-2011. Since then, LTE-Advanced technology was created for a faster connection, but it’s still 4G. All four major cell carriers in the US have their own LTE Advanced service offering. However, Verizon, Sprint, and T-Mobile call it 4G, while AT&T renamed their 4G service “5GE,” which the […]
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 […]
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 cutting edge network technology and the very latest research will provide faster speeds and more reliable connections on smartphones and other mobile devices than ever […]
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.
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 […]