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Function-as-a-Service (FaaS) has recently emerged as a new cloud computingparadigm. It promises high utilization of data center resources throughallocating resources on demand at per-function request granularity. Highcold-start overheads, however, have been limiting FaaS systems' such potential.Prior work has recognized that time redundancy exists across different coldfunction invocations and has proposed varied snapshots that capture theinstantaneous execution state so allow for jump-starts through restoration.However, it remains unclear what the cold-start performance limits are as theprevious snapshots employ different techniques and aredesigned for differentenvironments. In this paper, we summarize these snapshots from a taxonomicperspective andpresent a model that depicts the cold-start performancefromfirst principles. To approximate the performance limits, we propose asnapshot design SnapFaaS. We evaluate SnapFaaS using real-world FaaS functions.Our empirical results prove SnapFaaS' efficiency. It is 2-10x as fast as priorwork for most functions and achieves near-optimal cold-start performance.

How Low Can You Go? Practical cold-start performance limits in FaaS