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The goal is to have a single code base combining libradosStriper and XrdCeph, which could be easily maintained by RAL. We would like to maximise throughput by parallelise parallelising operations / transfers where possible.

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Project

Description

Estimated effort required

1

Fork libradosStriper

Fork libradosStriper and compile it outside of Ceph to see that we can continue to use data stored in Echo.

1 Month

2

Investigate librados Sparse Reads

Implement Assess and implement sparse reading in the forked libradosStriper (https://github.com/ceph/ceph/blob/main/src/include/rados/librados.hpp#L1060-L1062 ) for efficient vector read operation.

2 - 3 Months

3

Implement a many_aio_read in libradosstriper

Implement in forked libradosstriper a method to perform multi aio_reads in one call (see A. Peters: 26 Mar 21) for more efficient vector read operations (either/or with “Investigate librados Sparse Reads” project)

4

Understand how deletes work

The CERN FTS team measured the performance of deletes (https://codimd.web.cern.ch/UDL3fgqWT1a2HJC7LkWXNg# ) and don’t believe this is sufficient performance for expected data rates.

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