Signal Processing in Edge Computing
Edge computing moves some portion of storage and compute resources out of the central data center and closer to the source of the data itself. Rather than transmitting raw data to a central data center for processing and analysis, that work is instead performed where the data is actually generated -- whether that's a retail store, a factory floor, a sprawling utility or across a smart city. Only the result of that computing work at the edge, such as real-time business insights, equipment maintenance predictions or other actionable answers, is sent back to the main data center for review and other human interactions.Thus, edge computing is reshaping IT and business computing. Take a comprehensive look at what edge computing is, how it works, the influence of the cloud, edge use cases, tradeoffs and implementation considerations.
Related Conference of Signal Processing in Edge Computing
12th World Congress on Computer Science, Machine Learning and Big Data
6th International Conference on Renewable Energy and Resources
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
25th International Conference on Big Data & Data Analytics
Signal Processing in Edge Computing Conference Speakers
Recommended Sessions
- Edge Centric Convergence of IoT & Cloud Computing
- Blockchain & Zero Trust In Edge Computing
- Edge Access Networks & Systems
- Edge Computing and Network Functions Virtualization
- Edge Computing Architecture.
- Edge Computing for 5G/6G Network & Systems
- Edge Computing in Multi-cloud environments
- IOT (Internet of Things)
- Mobile edge computing (MEC)
- Optical Communication
- QoS & QoE at the Edge
- Sensor Technology
- Signal Processing in Edge Computing
- Storage and Caching at the Edge
- Wireless communication and networking

