BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Canada/Eastern BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210908T194958Z UID:C2B63D3C-DE0F-425D-8CC8-7484767BC7AF DTSTART;TZID=Canada/Eastern:20210914T090000 DTEND;TZID=Canada/Eastern:20210914T100000 DESCRIPTION:Future optical networks with orders of magnitude increase in da ta rates and large granularity bursty traffic need an architecture with hi gh efficiency and also adapt dynamically to fluctuating offered loads and rapidly changing networks states. Moreover\, applications and computing wi ll impose new requirements on the network infrastructure such as time dead lines. The current network management and control systems only adapt quasi -statically (from minutes to days) due the smoothing effects of significan t statistical multiplexing of traffic. Future networks will see increase i n demands mostly due to large granularity sessions. These granular session s present large dynamic range and bursty offered traffic to the network\, resulting in unpredictable congestions and blocking. We will explore effic ient and agile network algorithms to adapt quickly to changing network con ditions: a cognitive network management and control system resides in the network control plane as a collection of coordinated algorithms that sense and infer network states\, decide and implement fast scheduling of flows\ , predict intention of users/applications and take appropriate actions\, p erform rapid load balancing\, and handle resiliency via reconfiguration\, restoration and reconstitution of failed network assets.\n\nSpeaker: Vince nt Chan\, Joan and Irwin Jacobs Chair Professor\, Claude E. Shannon Commun ication and Network Group\,EECS\, MIT.\n\nCo-sponsored by: Canadian Confer ence on Electrical and Computer Engineering (CCECE) 2021\n\nSpeaker(s): Vi ncent Chan\, \n\nVirtual: https://events.vtools.ieee.org/m/280082 LOCATION:Virtual: https://events.vtools.ieee.org/m/280082 ORGANIZER:murraymacdonald@ieee.org SEQUENCE:3 SUMMARY:CCECE 2021 Keynote Speech - Future Optical Network Architechture URL;VALUE=URI:https://events.vtools.ieee.org/m/280082 X-ALT-DESC:Description: <br /><p>Future optical networks with orders of mag nitude increase in data rates and large granularity bursty traffic need an architecture with high efficiency and also adapt dynamically to fluctuati ng offered loads and rapidly changing networks states. Moreover\, applicat ions and computing will impose new requirements on the network infrastruct ure such as time deadlines. The current network management and control sys tems only adapt quasi-statically (from minutes to days) due the smoothing effects of significant statistical multiplexing of traffic. Future network s will see increase in demands mostly due to large granularity sessions. T hese granular sessions present large dynamic range and bursty offered traf fic to the network\, resulting in unpredictable congestions and blocking. We will explore efficient and agile network algorithms to adapt quickly to changing network conditions: a <em>cognitive network management and contr ol system</em> resides in the network control plane as a collection of coo rdinated algorithms that sense and infer network states\, decide and imple ment fast scheduling of flows\, predict intention of users/applications an d take appropriate actions\, perform rapid load balancing\, and handle res iliency via reconfiguration\, restoration and reconstitution of failed net work assets.&nbsp\;</p>\n<p>Speaker: Vincent Chan\,&nbsp\;Joan and Irwin J acobs Chair Professor\,&nbsp\;Claude E. Shannon Communication and Network Group\,EECS\, MIT.</p> END:VEVENT END:VCALENDAR