Note: this fixes a major problem (starvation)
with project-level GPU exclusion.
However, project-level GPU exclusion interferes with most of
the client's scheduling policies.
E.g., round-robin simulation doesn't take GPU exclusion into account,
and the resulting completion estimates and device shortfalls
can be wrong by an order of magnitude.
The only way I can see to fix this would be to model each
GPU instance as a separate resource,
and to associate each job with a particular GPU instance.
This would be a sweeping change in both client and server.
- Allow projects to report "desired disk usage" (DDU).
If the client learns that a project wants disk space,
it can shrink the allocation to other projects.
- Base share computation on DDU rather than disk usage.
- Introduce the notion of "disk resource share".
This is defined (somewhat arbitrarily) as resource share
plus 1/10 of the largest resource share.
This is intended to ensure that even zero-share projects
get enough disk space to store app versions and data files;
otherwise they wouldn't be able to compute.
- server: use host.d_boinc_max (which wasn't being used)
to start d_project_share reported by client.
- volunteer storage: change the way hosts are allocated to chunks.
Allow hosts to store several chunks of the same file, if needed
svn path=/trunk/boinc/; revision=26052
David Anderson