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DTSTAMP:20210402T160558Z
LOCATION:Track 4
DTSTART;TZID=America/New_York:20201112T143000
DTEND;TZID=America/New_York:20201112T151500
UID:submissions.supercomputing.org_SC20_sess210_ws_indisc112@linklings.com
SUMMARY:Keynote: Enhancing Distributed Computing with Programmable and Ope
 n Optical Networks
DESCRIPTION:SCinet, Workshop\n\nKeynote: Enhancing Distributed Computing w
 ith Programmable and Open Optical Networks\n\nFumagalli\n\nEdge computing 
 is an attractive solution to efficiently provide compute resources to many
  applications that demand specific QoS requirements. The edge computing re
 sources are in close geographical proximity to where the applications’ dat
 a originate from and/or are being supplied to, thus avoiding unnecessary b
 ack and forth data transmission with servers and data centers located far 
 away.  In this talk we describe a federated edge computing system in which
  compute resources at multiple edge sites (cloudlets) are dynamically aggr
 egated together to form virtual super-cloudlets and best respond to varyin
 g application-driven loads. In its simplest form a super-cloudlet consists
  of compute resources available at two cloudlets that are (temporarily) in
 terconnected by dedicated optical circuits deployed to achieve low-latency
  and high-speed data exchanges. The metro area optical transport network m
 ust be programmable in order to provision these optical circuits in a time
 ly fashion. In addition, an open optical network deployment would in this 
 scenario offer a significant advantage to the cloudlet owners (which are w
 illing to share their cloudlet resources to create super-cloudlets) in tha
 t every owner would be free to independently choose the supplier for their
  optical equipment deployment. We report on our initial experimental testi
 ng of the super-cloudlet architecture using the largest public OpenROADM d
 emonstration up to date (comprising Dense Wavelength Division Multiplexing
  equipment from six major suppliers) and describe how the Programmable Opt
 ical network (PROnet) Orchestrator handles the resources available in the 
 open optical metro network and connected cloudlets to achieve three key fu
 nctionalities, i.e., service placement, auto-scaling, and offloading.\n\nT
 ag: Big Data, Data Analytics, Compression, and Management, Datacenter, Net
 works, Performance/Productivity Measurement and Evaluation, SCinet, Softwa
 re-defined networking\n\nRegistration Category: Workshop Reg Pass
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