Our objective is twofold: the characterization of digital disk management in a public large scale cloud. §3 presents digital disk characterization results. With time, backing file chains can change into very lengthy (see §3). We should always take some management about how we see stuff based on that manner. For performance reasons, L1 and L2 entries are cached in RAM (see bellow). With its small measurement, your complete content material of L1 is loaded in RAM at VM boot time. To hurry up access 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 principles: 1) direct access upon an I/O request, regardless of their position within the chain; 2) using a single Qcow2 metadata cache, avoiding memory duplication by being impartial of the chain length. The file is divided into units named clusters, that can comprise both metadata (e.g, a header, indexation tables, and many others.) or information that signify ranges of consecutive sectors. To preserve backward compatibility, we depend on reserved bits in Qcow2’s metadata. Our solution tackles Qcow2’s scalability issues regarding IO performance and reminiscence footprint.

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