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DTSTAMP:20200129T163603Z
LOCATION:501
DTSTART;TZID=America/Denver:20191117T155500
DTEND;TZID=America/Denver:20191117T163000
UID:submissions.supercomputing.org_SC19_sess103_pec293@linklings.com
SUMMARY:INDIS Keynote: Applications of ML and AI in Next Generation Wired 
 and Wireless Networks
DESCRIPTION:Workshop\n\nINDIS Keynote: Applications of ML and AI in Next G
 eneration Wired and Wireless Networks\n\nVerma\n\nThe emergence of new net
 work technologies such as Intent based networks, coherent core optical net
 works, flow-based firewalls and 5G wireless has caused exponential increas
 e in complexity and throughout of edge, access, metro and core networks. I
 n such complex flow-based networks, manual and reactive adjustment of netw
 ork parameters is not efficient and cannot guarantee reliable and efficien
 t network deployment and operation. The monitoring and control of network 
 parameters such as QoS policy assignment in access networks, modulation an
 d symbol rate adjustments in optical networks, packet filtering and anomal
 y detection in security networks, beam-forming and scheduling in 5G wirele
 ss networks is extremely complex and challenging. Machine learning (ML) an
 d Artificial Intelligence (AI) can be used to perform proactive prediction
  and adjustment from learned behavior in next generation networks to achie
 ve high efficiency and reliability in networks. This session discusses the
  applications of machine learning in next generation networks and provides
  an overview of how machine learning models (supervised, unsupervised or r
 ecurrent) deployed on a programmable hardware can help to build automated,
  efficient and resilient next generation networks.\n\nTag: Workshop Reg Pa
 ss, Big Data, Data Analytics, Datacenter, Networks, Software-defined netwo
 rking\n\nRegistration Category: Workshop Reg Pass, Big Data, Data Analytic
 s, Datacenter, Networks, Software-defined networking
URL:https://sc19.supercomputing.org/presentation/?id=pec293&sess=sess103
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