It Ideas & Information
Our aim 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 develop into very long (see §3). We should take some management about how we see stuff based mostly on that method. For efficiency reasons, L1 and L2 entries are cached in RAM (see bellow). With its small size, all the content material of L1 is loaded in RAM at VM boot time. To speed up access to L1 and L2 tables, Qemu caches them in RAM. Our third contribution (§5) is to handle these scalability by evolving Qcow2 and introducing two key ideas: 1) direct entry upon an I/O request, regardless of their place within the chain; 2) using a single Qcow2 metadata cache, avoiding reminiscence duplication by being unbiased of the chain size. The file is divided into items named clusters, that can contain either metadata (e.g, a header, indexation tables, and many others.) or knowledge that signify ranges of consecutive sectors. To preserve backward compatibility, we rely on reserved bits in Qcow2’s metadata. Our solution tackles Qcow2’s scalability points relating to IO performance and reminiscence footprint.
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