The idea is to produce a standalone, independent tool to save and restore windows positions and sizes, analogous to a similar feature in KDE desktop. This would be handy in various lightweight desktop enviroments.

If you want to use the full potential of SSDs as primary (and possibly only) storage on SLE or openSUSE systems, you are supposed to perform several configuration settings to make it fly, including:

We had a quick course of Coccinelle during the last Labs conference. The tool is really great and I would like to explore possibility of checking lock invariants for particular functions. Julia was really prompt and implemented something that should help but I didn't get to it since the conference.

Starting with CUPS 1.6 things have changed considerably. Clients are no longer discovering broadcasted printers anymore. Distributions (e.g. Debian) has backported the original protocol into cups-daemon package but this doesn't seem to work either on my laptop. I would like to look and try to understand what the hack is going on here.

cscope is a great tool index C/C++ sources and allow to navigate through the code. I have learned that the project is mostly dead and what is worse it uses its own database format to store the index. I would like to see some extended functionality in the tool - e.g. search whether a function A is reachable from B, filtering search results per-file, fix functions with function parameter detection (such functions are not recognized properly currently) and some others.

The primary motivation for crash-setup (created by l3team) is to make kernel crashdumps deployment and crash using as easy as possible. This has been the case for quite some time except the tool was quite l3slave centric. With a great help from tcech the tool is close to be fully usable from other machines and !.de network as well.

The CRUSH algorithm determines how to store and retrieve data by computing data storage locations. CRUSH empowers Ceph clients to communicate with OSDs directly rather than through a centralized server or broker. With an algorithmically determined method of storing and retrieving data, Ceph avoids a single point of failure, a performance bottleneck, and a physical limit to its scalability. CRUSH requires a map of your cluster, and uses the CRUSH map to pseudo-randomly store and retrieve data in OSDs with a uniform distribution of data across the cluster.