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Edge Computing is the Future According to Satya Distinguished Lecture
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Smartphones and sensors collect more data than current networks can process. To ensure data can be analyzed faster and for less money yet maintain security, the network needs to come closer. Using the edge of the network is known as edge computing, and it’s becoming the new paradigm.
Carnegie Mellon Professor Mahadev (Satya) Satyanarayanan delivered the School of Computer Science Distinguished Lecture on the future potential of edge computing on Friday, Oct. 11. In his talk, Edge Computing: A New Disruptive Force, he spoke to why edge computing is dominating the field, how it can improve people’s lives, and what progress can be expected.
Networks have changed drastically in the past decade. The cloud was seen as the biggest innovation, but now there are networks everywhere, from cloudlets to mobile devices.
Satya broke down the network down into three tiers:
- Tier 1: cloud
- Tier 2: cloudlets (such as aircraft, vehicles, mounted racks)
- Tier 3: Mobile and Internet of Things (IoT) devices (such as smartphones, sensors, augmented and virtual reality, drones, wearable computing)
- More bandwidth for edge analytics in IoT, pushing video analytics or sensor data close to collection point
- Highly responsive cloud-like services thanks to the lower latency the edge provides
- Exposure firewall in IoT or the ability to take sensor data from the source so it removes privacy-sensitive information
- Availability of services when cloud goes down in natural disaster or remote military operation
- Honor data export restrictions because it pushes compute to domain in which data has been captured
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- Workflow Status: Published
- Created By: Tess Malone
- Created: 11/01/2019
- Modified By: Tess Malone
- Modified: 11/01/2019
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