BEGIN:VCALENDAR METHOD:REQUEST PRODID:Microsoft Exchange Server 2010 VERSION:2.0 BEGIN:VTIMEZONE TZID:Pacific Standard Time BEGIN:STANDARD DTSTART:16010101T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=1SU;BYMONTH=11 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010101T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=2SU;BYMONTH=3 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT ORGANIZER;CN=Ramki Krishnan:MAILTO:ram...@vmware.com ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=nfvrg@irtf .org:MAILTO:nfvrg@irtf.org ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=dilip@ieee .org:MAILTO:di...@ieee.org ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="ISUKAPALLI , SASTRY S (SASTRY) (sas...@research.att.com)":MAILTO:sas...@research.att.c om ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=Nina Narod ytska:MAILTO:nnarodyt...@vmware.com ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=Siamak Lay eghy:MAILTO:s.laye...@uq.edu.au DESCRIPTION;LANGUAGE=en-US:Dear All\,\n\nPlease find details on the NFVRG i nterim meeting on “Model-driven & AI-Enabled Inter-Cloud Optimization” . Looking forward to your participation.\n\n--\nThanks\,\nNFVRG Co-Chairs (Ramki & Diego)\n\nZoom: vmware.zoom.us/j/3 055973130\nVMware address: Promontory A\, 3401 Hillview Ave\, P alo Alto\, CA 94304\nVMware campus map: https://www.vmware.com/files/pdf /vmw-directions-to-vmware.pdf\n\n\nTitle: Model-driven & AI-Enabled Inter- Cloud Optimization\n\n * Introduction\n * “Use Cases (5G/Edge C omputing)” - Dilip K rishnaswamy (Reliance Jio\, India) - 20 min.\n\n “Architecture & Benefits” - Sastry Isukapalli (AT&T\, New Jersey\, USA) - 25 min.\n\n * Research Challenges & Solution Direc tion\n * “Recent Trends in Constraint Optimization and Satisfactio n” - Nina Narodytska (VMware\, California\, USA) - 40 min.\n * “Network Flow Optimization” - Siamak Layeghy (Univ. o f Queensland\, Australia) - 40 min.\n\n\nAgenda Details:\n“ Use Cases (5G/Edge Computing)” - Dilip Krishnaswamy (Reliance Jio\, Indi a)\nAbstract: Emerging 5G network architecture will consist of a large num ber of distributed "clouds" with dynamically varying resource availability in terms of compute\, or storage\, or network bandwidth\, or energy\, and with support for edge computing/services. The ability to serve users with dynamic requirements across geographies using such distributed resources will require learning and prediction of distributed models across users a nd infrastructure to dynamically and efficiently allocate resources. This talk will cover different use-cases that drive the need for such distribut ed architecture\, and motivate the need for building distributed models of users and infrastructure\, and the need for dynamic resource optimization across these distributed and edge clouds.\n\n“Architecture and Benefits ” – Sastry Isukapalli (AT&T\, New Jersey\, USA)\nAbstract: This talk f ocuses on the Open Network Automation Platform (ONAP) Optimization Framewo rk (OOF) open source effort\, which is a declarative framework based on a Policy- and Model-driven\, architecture with AI assists. While the core de sign framework is based on MiniZinc\, it also supports optimization applic ations based on generic or problem-specific custom solvers. The system is presented with a set of example applications\, including dynamic resource allocation under various complex constraints.\n\n\n\n“Recent Trends in C onstraint Optimization and Satisfaction” – Nina Narodytska (Vmware\, C alifornia\, USA)\nAbstract: In this talk we overview several constraint op timization solvers and consider the main design principles behind these se arch procedures. First\, we look at Boolean Satisfiability (SAT) and Integ er Linear Programing( ILP) solvers and their extensions. These decision pr ocedures offer a restrictive modeling language based on Boolean logic and integer linear constrains\, and powerful search procedures. Next we will talk about Constraint Programing (CP) solvers\, whose rich modeling langua ges include expressive global constraints and a variety of decision search procedures\, e.g.\, backtracking search\, lazy-clause generation\, etc.\ n\n\n\n“Software-defined Constrained Optimal Routing (SCOR)” – Siama k Layeghy (Univ. of Queensland\, Australia) (* to be finalized)\nAbstract: This presentation covers an overview of SCOR (Software-defined Constraine d Optimal Routing)\, a new Software Defined Networking (SDN) Northbound In terface for QoS routing and traffic engineering implemented in the MiniZin c modelling language. A key feature of SCOR is that it is declarative\, w here only the constraints and utility function of the routing problem need to be expressed\, and the complexity of solving the problem is hidden fro m the user\, and handled by a powerful generic solver.\n\n\nDilip Krishnas wamy (Reliance Jio\, India) Bio:\nDilip Krishnaswamy is currently serving as Vice President (New Technology Initiatives) at Reliance Jio Infocomm Lt d. Previously\, he has worked as a senior scientist at IBM Research\, as a platform architect at Intel\, and as a senior staff researcher in the off ice of the chief scientist at Qualcomm. He has a PhD in electrical enginee ring from the University of Illinois at Urbana-Champaign. He is an invento r on 61 granted US patents\, and has 70+ publications. His research inter ests include distributed information processing\, distributed function vir tualization\, distributed resource management\, blockchain technology\, ed ge services\, NFV/SDN\, NB-IoT\, AI/ML\, and 5G architecture & systems.\n \n\n\nSastry Isukapalli (AT&T\, New Jersey) Bio:\nSastry Isukapalli is Pri ncipal Inventive Scientist at AT&T Labs Research. Previously\, he was part of the Machine Learning and Data Mining groups in AT&T Research. Prior to the AT&T tenure\, he was Assistant Professor at the RW Johnson Medical Sc hool. He obtained his PhD from Rutgers University for development of the S tochastic Response Surface Method under the direction of Prof. Panos Georg opulos. He is also an Alumnus of the Indian Institute of Technology\, Madr as\, India. He is an alumni of Savera Systems\, Virtual Gold\, and Kirusa Inc. He is a committer for the open source ONAP Optimization Framework Pro ject (onap.org).\n\n\n\nNina Narodytska (VMware\, California\, USA) Bio:\n Nina Narodytska is a researcher at VMware Research. Prior to VMWare Resear ch\, she was a researcher at Samsung Research America\, a postdoctoral res earcher in the Carnegie Mellon University School of Computer Science and t he University of Toronto. She received her PhD from the University of New South Wales in 2011. Nina works on developing efficient search algorithms for decision and optimization problems. She was named one of "AI's 10 to Watch" young researchers in the field of AI. She also received an Outstand ing Paper Award at AAAI 2011 and an outstanding program committee member a ward at the Australasian Joint Conference on Artificial Intelligence 2012. \n\n\n\nSiamak Layeghy (Univ. of Queensland\, Australia) Bio: (* to be fin alized)\n\nSiamak Layeghy is a PhD student at the School of Information Te chnology & Electrical Engineering at the University of Queensland\, Brisba ne\, Australia. He received his Bachelor in Telecommunication Engineering and his Master in Electronics Engineering from K.N.Toosi University of Tec hnology\, Tehran\, Iran. He has several years’ experience in Network En gineering in Iran’s National Infrastructure Company. His main research i nterests include Software Defined Networks\, Routing and Traffic Engineeri ng and Network.\n\n\n UID:040000008200E00074C5B7101A82E00800000000C0BC08E3DBD1D301000000000000000 010000000F1E3B3CA41B40F45B023CC44BE1EA227 SUMMARY;LANGUAGE=en-US:NFVRG interim meeting -- Model-driven & AI-Enabled I nter-Cloud Optimization DTSTART;TZID=Pacific Standard Time:20180424T100000 DTEND;TZID=Pacific Standard Time:20180424T121500 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20180413T234645Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:0 LOCATION;LANGUAGE=en-US:In person (VMware campus) + Remote (Zoom) X-MICROSOFT-CDO-APPT-SEQUENCE:0 X-MICROSOFT-CDO-OWNERAPPTID:1573734370 X-MICROSOFT-CDO-BUSYSTATUS:TENTATIVE X-MICROSOFT-CDO-INTENDEDSTATUS:BUSY X-MICROSOFT-CDO-ALLDAYEVENT:FALSE X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-INSTTYPE:0 X-MICROSOFT-DONOTFORWARDMEETING:FALSE X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MICROSOFT-LOCATIONS:[{"DisplayName":"In person (VMware campus) + Remote ( Zoom)"\,"LocationAnnotation":""\,"LocationUri":""\,"LocationStreet":""\,"L ocationCity":""\,"LocationState":""\,"LocationCountry":""\,"LocationPostal Code":""\,"LocationFullAddress":""}] BEGIN:VALARM DESCRIPTION:REMINDER TRIGGER;RELATED=START:-PT15M ACTION:DISPLAY END:VALARM END:VEVENT END:VCALENDAR
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