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Serverless computing is an emerging Cloud paradigm that allows users to claim and pay for resources only when their jobs are executing. While this paradigm offers several advantages, the phenomenon of "cold start" reduces its inherent efficiency with respect to the utilization of compute, storage and network resources that support its existing virtualization deployment systems. We analyze current modes of deployment and identify data similarities across applications. Based on these observations, we propose a new deployment system that is built atop a peer-to-peer network, virtual file-system and content-addressable storage, which will increase compute availability, reduce storage requirement, and prevent network bottlenecks.

Exploiting content similarity to address cold start in container deployments