Speaker
Description
Scientific exploration and exploitation of data is undergoing a
revolution as communities explore new ways of analysing their data.
One solution that is being used increasingly is sync-and-share, where
data, presentations, graphs and code are shared in an ad hoc fashion.
This allows commuties to explore data in new and innovative ways.
Sites that have already invested in dCache to solve their large data
storage requirements are keen that their services integrate seemlessly
with sync-and-share systems. Such combined systems should function
without any degradation of either system.
The combined system, involving ownCloud and dCache, is also attractive
for sites that have not yet invested in dCache as they will want a
solution that scales as well as dCache.
Naturally, dCache has many years of experience handling multiple
petabytes of data: we know how to scale such data services. Although
large data is problematic for (own|next)Cloud, the ownCloud+dCache
deployment at DESY ("DESY Cloud") shows such a deployment is
practical.
Although a simple deployment functions well enough, we see
opportunities to improve the performance; in particular, there is the
possibility to improve the interface between (own|next)Cloud and
dCache; to avoid duplication of information and avoid potential
bottlenecks.
We will present a summary of the ownCloud+dCache hybrid system,
identifying problem areas and present our solutions to solve these
issues.
