Our aim is twofold: the characterization of virtual disk management in a public giant scale cloud. §3 presents digital disk characterization results. With time, backing file chains can develop into very lengthy (see §3). We should always take some management about how we see stuff based mostly on that manner. For efficiency causes, L1 and L2 entries are cached in RAM (see bellow). With its small size, the complete content material 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 deal with these scalability by evolving Qcow2 and introducing two key ideas: 1) direct access upon an I/O request, no matter their place in the chain; 2) the use of a single Qcow2 metadata cache, avoiding memory duplication by being unbiased of the chain size. The file is divided into models named clusters, that may include both metadata (e.g, a header, indexation tables, and so on.) or information that symbolize ranges of consecutive sectors. To preserve backward compatibility, we rely on reserved bits in Qcow2’s metadata. Our resolution tackles Qcow2’s scalability issues relating to IO performance and reminiscence footprint.

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