Our goal is twofold: the characterization of digital disk management in a public massive scale cloud. §3 presents virtual disk characterization outcomes. With time, backing file chains can become very lengthy (see §3). We must always take some control about how we see stuff based on that manner. For performance causes, L1 and L2 entries are cached in RAM (see bellow). With its small size, the entire 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 entry upon an I/O request, regardless of their place within the chain; 2) the usage of a single Qcow2 metadata cache, avoiding reminiscence duplication by being impartial of the chain length. The file is divided into items named clusters, that may include both metadata (e.g, a header, indexation tables, and so on.) or knowledge that characterize ranges of consecutive sectors. To preserve backward compatibility, we rely on reserved bits in Qcow2’s metadata. Our resolution tackles Qcow2’s scalability issues regarding IO performance and reminiscence footprint.

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