?| 제목 | Bridging the Cloud-to-Things Continuum |
| 발행일자 | 2018.10.3 |
| 발행기관 | Tech Idea Research |
| 주요내용 | Digital innovation is changing the way we live, interact, work, play, and get from point A to point B. It is transforming every industry today, from healthcare to transportation to public services. Yet there is a missing link between the vision of the future and the execution, caused by limitations under the traditional cloud-only or cloud-mostly computing models. While cloud-only works well in some scenarios, it leaves a gap in others which require an infrastructure that can span the continuum from cloud to device. And that’s where fog computing comes in. Fog computing, as defined by the OpenFog Consortium, is a system-level horizontal architecture that distributes resources and services of computing, storage, control and networking anywhere along the continuum from cloud to things. It’s more than an interesting approach to today’s data-driven world ? it’s a necessary one. At OpenFog, we have classified the advantages of fog computing as SCALE: Security, Cognition, Agility, Latency and Efficiency. Fog offers all this, and more, through its flexible, distributed architecture. Some industry use cases ? autonomous cars, emergency services, robotics and virtual reality, to name a few - need fog computing for its sub millisecond response time. In remote locations, fog computing ensures continual operations, when and where persistent network connectively can be challenging. On billions of devices, fog computing saves network bandwidth and operational costs by shifting computation closer to the devices. Fog also provides extra safety and security protections that are critical in today’s world. |
| 원문보기 | Tech Idea Research |