Enabling Efficient and Reliable Edge Computing for IoT
Enabling Efficient and Reliable Edge Computing for IoT
Enabling Efficient and Reliable Edge Computing for IoT
The rapidly expanding market size of the Internet of Things (IoT) has raised fundamental challenges in processing/transmitting unprecedented volume of data and powering all these devices. To address the limitations of cloud computing, the new technologies of edge computing leveraging the power of local computing close to where data are collected has become a promising solution in reducing the transmission overhead and supporting delay-sensitive and context-aware services. However, it further poses significant challenges in designing the computing and transmission system, memory system, and energy storage in embedded devices. Besides the challenge in designing a single device, new methodologies for data fusion, task distribution, and cooperative heterogeneous system on both edge and cloud are also in urgent need to enable efficient edge computing for IoT applications. This talk will discuss those new challenges and possible solutions. In the end, the design trends for the next-generation IoT system and future research directions will also be discussed.
Date and Time
Location
Hosts
Registration
- Date: 22 Nov 2019
- Time: 11:30 AM to 01:00 PM
- All times are (GMT-06:00) US/Central
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- Building 161
- 145 Tom Slick Ave, San Antonio, TX 78238
- San Antonio, Texas
- United States
- Building: Cafeteria, Southwest Research Institute
- Click here for Map
- Contact Event Host
- Co-sponsored by CH05227 - Central Texas Section Chapter, C16 San Antonio
- Starts 06 November 2019 01:14 AM
- Ends 22 November 2019 10:00 AM
- All times are (GMT-06:00) US/Central
- No Admission Charge
Speakers
Dr. Mimi Xie
Enabling efficient and reliable edge computing for IoT
Enabling Efficient and Reliable Edge Computing for IoT
The rapidly expanding market size of the Internet of Things (IoT) has raised fundamental challenges in processing/transmitting unprecedented volume of data and powering all these devices. To address the limitations of cloud computing, the new technologies of edge computing leveraging the power of local computing close to where data are collected has become a promising solution in reducing the transmission overhead and supporting delay-sensitive and context-aware services. However, it further poses significant challenges in designing the computing and transmission system, memory system, and energy storage in embedded devices. Besides the challenge in designing a single device, new methodologies for data fusion, task distribution, and cooperative heterogeneous system on both edge and cloud are also in urgent need to enable efficient edge computing for IoT applications. This talk will discuss those new challenges and possible solutions. In the end, the design trends for the next-generation IoT system and future research directions will also be discussed.
Agenda
Lunch will begin promptly at 11:30am. The Guest Speaker presents from 12pm-1pm