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Spot instances offer a cost-effective solution for applications running inthe cloud computing environment. However, it is challenging to run long-runningjobs on spot instances because they are subject to unpredictable evictions.Here, we present Spot-on, a generic software framework that supportsfault-tolerant long-running workloads on spot instances through checkpoint andrestart. Spot-on leverages existing checkpointing packages and is compatiblewith the major cloud vendors. Using a genomics application as a test case, wedemonstrated that Spot-on supports both application-specific and transparentcheckpointing methods. Compared to running applications using on-demandinstances, it allows the completion of these workloads for a significantreduction in computing costs. Compared to running applications usingapplication-specific checkpoint mechanisms, transparent checkpoint-protectedapplications reduce runtime by up to 40%, leading to further cost savings of upto 86%.

Spot-on: A Checkpointing Framework for Fault-Tolerant Long-running Workloads on Cloud Spot Instances