Abstract
We highlight the problem of scalability bugs, a new class of bugs that appear in cloud-scale distributed systems. Scalability bugs are latent bugs that are cluster-scale dependent, whose symptoms typically surface in large-scale deployments, but not in small or medium-scale deployments. The standard practice to test large distributed systems is to deploy them on a large number of machines (real-scale testing), which is difficult and expensive. New methods are needed to reduce developers' burdens in finding, reproducing, and debugging scalability bugs. We propose scale check, an approach that helps developers find and replay scalability bugs at real scales, but do so only on one machine and still achieve a high accuracy (i.e., similar observed behaviors as if the nodes are deployed in real-scale testing).
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