BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Calcutta BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210309T065541Z UID:C0EABEDE-3BE7-45D4-9EC4-95C906C231CA DTSTART;TZID=Asia/Calcutta:20210308T180000 DTEND;TZID=Asia/Calcutta:20210308T193000 DESCRIPTION:Edge computing is a method of optimizing cloud computing system s by performing data processing at the edge of the network\, near the sour ce of the data. This reduces the communications bandwidth needed between s ensors and the central datacentre by performing analytics and knowledge ge neration at or near the source of the data. This approach requires leverag ing resources that may not be continuously connected to a network such as laptops\, smartphones\, tablets and sensors.\n\nThe talk on Edge Computing and its Applications started off with the true meaning of Edge Computing. It is the Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed\, t o improve response times and save bandwidth. Then Mr. Venkatesh spoke abou t the statistics of Edge Computing in different areas. The applications in clude\n\n- Manufacturing\n- Smart cities\n\nEdge computing intermediate ac tions and application are\n\n- Collision Avoidance\n- Medical anomaly dete ction& intervention\n- Smart lock\n- Machine malfunction\n- lone worker sa fety\n- Theft detection\n\nEdge computing high computing power required th ey are\n\n- Multicore CPUS\n- GPUS\n- Hardware acceleration\n- Originally developed for graphics processing\n- matrix operation\n- vector arithmetic \n- very wide data\n\nImplementation\n\n- large arrays of processing units \n- wide data widths\n- internal switching to process\n\nIn conclusion\, E dge Computing is distributed computing paradigm that brings computation an d data storage closer to the location where it is needed\, to improve resp onse times and save bandwidth which is a growing area in the domain of Com puter Science engineering which is impacting a number of lives for the bet ter.\n\nEdge computing covers a wide range of technologies including wirel ess sensor networks\, mobile data acquisition\, mobile signature analysis\ , cooperative distributed peer-to-peer ad hoc networking and processing al so classifiable as local cloud/fog computing and grid/mesh computing\, dew computing\, mobile edge computing\, cloudlet\, distributed data storage a nd retrieval\, autonomic self-healing networks\, remote cloud services\, a ugmented reality\, and more.\n\nIt is typically referred to in IoT use cas es\, where edge devices would collect data – sometimes massive amounts o f it – and send it all to a data centre or cloud for processing. Edge co mputing triages the data locally so some of it is processed locally\, redu cing the backhaul traffic to the central repository.\n\nIEEE VNR WIE and S PS in association with IEEE Hyderabad section WIE AG is organising a Women in Leadership : Achieving an equal future/ International women's Day Cele brations followed by a Talk on Edge Computing and it's Advantage on 8th Ma rch 2021 from 6PM to 7.30 PM through Webex\n\nSpeaker\n\nMr. N. Venkatesh\ n\nSr. Director Engineering\n\nSilicon Labs\, Hyderabad\n\nPast Chair \, I EEE Hyderabad Section\n\nVirtual: https://events.vtools.ieee.org/m/263821 LOCATION:Virtual: https://events.vtools.ieee.org/m/263821 ORGANIZER:padmasai_y@ieee.org SEQUENCE:2 SUMMARY:IEEE VNR WIE\, SPS in association with IEEE Hyderabad Section organ izing a International women's Day and Talk on Edge Computing and it's Adva ntage URL;VALUE=URI:https://events.vtools.ieee.org/m/263821 X-ALT-DESC:Description: <br /><p>Edge computing is a method of optimizing c loud computing systems by performing data processing at the edge of the ne twork\, near the source of the data. This reduces the communications bandw idth needed between sensors and the central datacentre by performing analy tics and knowledge generation at or near the source of the data. This appr oach requires leveraging resources that may not be continuously connected to a network such as laptops\, smartphones\, tablets and sensors.</p>\n<p> The talk on Edge Computing and its Applications started off with the true meaning of Edge Computing. It is the Edge computing is a distributed compu ting paradigm that brings computation and data storage closer to the locat ion where it is needed\, to improve response times and save bandwidth. The n Mr. Venkatesh spoke about the statistics of Edge Computing in different areas. The applications include</p>\n<ul>\n<li>Manufacturing</li>\n<li>Sma rt cities</li>\n</ul>\n<p>Edge computing intermediate actions and applicat ion are</p>\n<ul>\n<li>Collision Avoidance</li>\n<li>Medical anomaly detec tion&amp\; intervention</li>\n<li>Smart lock</li>\n<li>Machine malfunction </li>\n<li>lone worker safety</li>\n<li>Theft detection</li>\n</ul>\n<p>Ed ge computing high computing power required they are</p>\n<ul>\n<li>Multico re CPUS</li>\n<li>GPUS</li>\n<li>Hardware acceleration</li>\n<li>Originall y developed for graphics processing</li>\n<li>matrix operation</li>\n<li>v ector arithmetic</li>\n<li>very wide data</li>\n</ul>\n<p>Implementation</ p>\n<ul>\n<li>large arrays of processing units</li>\n<li>wide data widths< /li>\n<li>internal switching to process</li>\n</ul>\n<p>In conclusion\, Ed ge Computing is distributed computing paradigm that brings computation and data storage closer to the location where it is needed\, to improve respo nse times and save bandwidth which is a growing area in the domain of Comp uter Science engineering which is impacting a number of lives for the bett er.</p>\n<p>Edge computing covers a wide range of technologies including w ireless sensor networks\, mobile data acquisition\, mobile signature analy sis\, cooperative distributed peer-to-peer ad hoc networking and processin g also classifiable as local cloud/fog computing and grid/mesh computing\, dew computing\, mobile edge computing\, cloudlet\, distributed data stora ge and retrieval\, autonomic self-healing networks\, remote cloud services \, augmented reality\, and more.</p>\n<p>It is typically referred to in Io T use cases\, where edge devices would collect data &ndash\; sometimes mas sive amounts of it &ndash\; and send it all to a data centre or cloud for processing. Edge computing triages the data locally so some of it is proce ssed locally\, reducing the backhaul traffic to the central repository.</p >\n<p>IEEE VNR WIE&nbsp\; and SPS in association with IEEE Hyderabad secti on WIE AG is organising &nbsp\;a Women in Leadership : Achieving an equal future/ International women's Day Celebrations followed by a Talk on Edge Computing and it's Advantage on 8th March 2021 from 6PM to 7.30 PM through Webex</p>\n<p>Speaker</p>\n<p>Mr. N. Venkatesh</p>\n<p>Sr. Director Engin eering</p>\n<p>Silicon Labs\, Hyderabad</p>\n<p>Past Chair \, IEEE Hyderab ad Section</p> END:VEVENT END:VCALENDAR