Our goal is twofold: the characterization of virtual disk management in a public giant scale cloud. §3 presents virtual disk characterization results. With time, backing file chains can turn into very long (see §3). We should always take some management about how we see stuff based mostly on that manner. For performance causes, L1 and L2 entries are cached in RAM (see bellow). With its small measurement, the complete content of L1 is loaded in RAM at VM boot time. To speed up entry to L1 and L2 tables, Qemu caches them in RAM. Our third contribution (§5) is to address these scalability by evolving Qcow2 and introducing two key ideas: 1) direct entry upon an I/O request, no matter their position within the chain; 2) the usage of a single Qcow2 metadata cache, avoiding memory duplication by being impartial of the chain length. The file is divided into models named clusters, that may include either metadata (e.g, a header, indexation tables, and many others.) or data that symbolize ranges of consecutive sectors. To preserve backward compatibility, we rely on reserved bits in Qcow2’s metadata. Our solution tackles Qcow2’s scalability points regarding IO efficiency and reminiscence footprint.

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