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DESCRIPTION:Enabling Efficient and Reliable Edge Computing for IoT\n\nThe r
 apidly expanding market size of the Internet of Things (IoT) has raised fu
 ndamental challenges in processing/transmitting unprecedented volume of da
 ta and powering all these devices. To address the limitations of cloud com
 puting\, the new technologies of edge computing leveraging the power of lo
 cal computing close to where data are collected has become a promising sol
 ution in reducing the transmission overhead and supporting delay-sensitive
  and context-aware services. However\, it further poses significant challe
 nges 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 u
 rgent need to enable efficient edge computing for IoT applications. This t
 alk 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.\n\nCo-sponsored by: CH05227 - Central T
 exas Section Chapter\, C16 San Antonio\n\nSpeaker(s): Dr. Mimi Xie\, \n\nA
 genda: \nLunch will begin promptly at 11:30am. The Guest Speaker presents 
 from 12pm-1pm\n\nBldg:  Cafeteria\, Southwest Research Institute\, Buildin
 g 161\,  145 Tom Slick Ave\, San Antonio\, TX 78238\, San Antonio\, Texas\
 , United States
LOCATION:Bldg:  Cafeteria\, Southwest Research Institute\, Building 161\,  
 145 Tom Slick Ave\, San Antonio\, TX 78238\, San Antonio\, Texas\, United 
 States
ORGANIZER:Dr.Brian.Kelley@gmail.com
SEQUENCE:1
SUMMARY:Enabling Efficient and Reliable Edge Computing for IoT
URL;VALUE=URI:https://events.vtools.ieee.org/m/209575
X-ALT-DESC:Description: <br /><p><strong>Enabling Efficient and Reliable Ed
 ge Computing for IoT</strong></p>\n<p>The rapidly expanding market size of
 &nbsp\;the Internet of Things (IoT)&nbsp\;has raised fundamental challenge
 s in processing/transmitting unprecedented volume of data and powering all
  these devices.&nbsp\;To address the limitations of cloud computing\,&nbsp
 \;the new technologies of edge computing&nbsp\;leveraging the power of loc
 al computing&nbsp\;close to where data are collected has&nbsp\;become a pr
 omising solution in&nbsp\;reducing the transmission overhead&nbsp\;and sup
 porting delay-sensitive and context-aware services. However\, it&nbsp\;fur
 ther poses significant challenges in designing the computing and transmiss
 ion system\, memory system\, and energy storage in embedded devices. Besid
 es the challenge in designing a single device\,&nbsp\;new methodologies fo
 r data fusion\, task distribution\, and cooperative heterogeneous system o
 n both edge and cloud are also in urgent need to enable efficient edge com
 puting for IoT applications.&nbsp\;This talk will discuss those new challe
 nges and possible solutions.&nbsp\;In&nbsp\;the end\, the design trends fo
 r the next-generation IoT system and&nbsp\;future research directions will
  also be&nbsp\;discussed.</p><br /><br />Agenda: <br /><p>Lunch will begin
  promptly at 11:30am.&nbsp\; The Guest Speaker presents from 12pm-1pm</p>
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