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DTSTAMP:20230124T171527Z
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DTSTART;TZID=America/Chicago:20221114T091500
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UID:submissions.supercomputing.org_SC22_sess439_ws_scsc111@linklings.com
SUMMARY:Spot-On:  A Checkpointing Framework for Fault-Tolerant Long-Runnin
 g Workloads on Cloud Spot Instances
DESCRIPTION:Workshop\n\nSpot-On:  A Checkpointing Framework for Fault-Tole
 rant Long-Running Workloads on Cloud Spot Instances\n\nTung, Wang, Li, Wan
 g, Sun\n\nSpot instances offer a cost-effective solution for applications 
 running in the cloud computing environment. However, it is challenging to 
 run long-running jobs on spot instances because they are subject to unpred
 ictable evictions. Here, we present Spot-on, a generic software framework 
 that supports fault-tolerant long-running workloads on spot instances thro
 ugh checkpoint and restart. Spot-on leverages existing checkpointing packa
 ges and is compatible with the major cloud vendors. Using a genomics appli
 cation as a test case, we demonstrated that Spot-on supports both applicat
 ion-specific and transparent checkpointing methods. Compared to running ap
 plications using on-demand instances, it allows the completion of these wo
 rkloads for a significant reduction in computing costs. Compared to runnin
 g applications using application-specific checkpoint mechanisms, transpare
 nt checkpoint-protected applications take less time to complete, leading t
 o further cost reductions.\n\nSession Format: Recorded\n\nTag: Reliability
  and Resiliency\n\nRegistration Category: Workshop Reg Pass
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