Workload-Aware Live Migratable Cloud Instance Detector

Cloud computing provides a variety of distinct computing resources on demand. Supporting live migration in the cloud can be beneficial to dynamically build a reliable and cost-optimal environment, especially when using spot instances. Users can apply the process of live migration technology using the Checkpoint/Restore In Userspace (CRIU) to achieve the goal. Due to the nature of live migration, ensuring the compatibility of the central processing unit (CPU) features between the source and target hosts is crucial for flawsless execution after migration. To detect migratable instances precisely while lowering false-negative detection on the cloud-scale, we propose a workload-aware migratable instance detector. Unlike the implementation of the CRIU compatibility checking algorithm, which audits the source and target host CPU features, the proposed system thoroughly investigates instructions used in a migrating process to consider CPU features that are actually in use. With a thorough evaluation under various workloads, we demonstrate that the proposed system improves the recall of migratable instance detection over 5x compared to the default CRIU implementation with 100% detection accuracy. To demonstrate its practicability, we apply it to the spot-instance environment, revealing that it can improve the median cost savings by 16% and the interruption ratio by 15% for quarter cases.