File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolutionįor a decade, the Ceph distributed file system followed the conventional wisdom of building its storage backend on top of local file systems.Note: The terms “read” and HTTP GET is used interchangeably throughout this post, as are the terms HTTP PUT and “write.” In this post, we will understand the top-line performance for different object sizes and workloads.

As detailed in the first post the Ceph cluster was built using a single OSD (Object Storage Device) configured per HDD, having a total of 112 OSDs per Ceph cluster. We have tested a variety of configurations, object sizes, and client worker counts in order to maximize the throughput of a seven node Ceph cluster for small and large object workloads.

Achieving maximum performance from a fixed size Ceph object storage cluster.

Developers can request that the nodes submit the results of the off-chain computations, or dispute the results provided by others. Because the computations are happening off-chain, this enables Cartesi nodes to run vastly more complex dApps than existing blockchains can manage. Smart contracts from any blockchain can request off-chain computations to be performed on off-chain data by a Cartesi node. These nodes are general, self-contained Linux systems, running on a deterministic RISC-V architecture. Therefore, it’s a layer 2 solution that enables intensive computations to take place off-chain, in Cartesi nodes.

Meet the Startup That Wants to Connect Linux to the BlockchainĬartesi operates based on the entirely pragmatic principle that achieving full consensus over every computation within all applications is at odds with achieving true scalability.

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