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DTSTART;TZID=America/Denver:20231115T165100
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UID:submissions.supercomputing.org_SC23_sess308_spostu118@linklings.com
SUMMARY:Supercharging Scientific Serverless:  Slashing Cold Starts with Py
 thon UniKernels
DESCRIPTION:Jamison Kerney (Illinois Institute of Technology)\n\nServerles
 s computing platforms use containers to create custom and isolated executi
 on environments.  Thus, the time to serve a function in the Function-as-a-
 Service (FaaS) paradigm, is dependent on the time to load the necessary co
 ntainer.  FaaS platforms try to avoid "cold-starts'', instead pre-loading 
 containers to serve workload. We focus on the problem of rapidly loading P
 ython environments in the  Globus Compute (previously funcX) platform.  Gl
 obus Compute is unique in that it is deployed on HPC systems and thus suff
 ers from costs of shared file systems.  We evaluate containers and microvm
 ms (Docker and Firecracker) and propose a new approach using lightweight P
 ython Unikernels.  We show considerable speed up in cold-start times using
  Unikernels.\n\nRegistration Category: Tech Program Reg Pass\n\nSession Ch
 air: Ana Gainaru (Oak Ridge National Laboratory (ORNL))\n\n
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