Hi, > I have the feeling you're mixing two distinct matters here. The issue > Norman addressed in his email was "How to share memory buffers between > applications". That is done via dataspaces that are referenced by > dataspace capabilities (in Unix file descriptors) and could be > attached to any virtual address space via region management (in Unix > mmap()).
Well, I was wondering about how to share data between components, where the data may be specified within a library eg. having a variable in a library that should be shared between all components using this library. > What do you want to say with this statement? Do you want the data to > be shared? Do you want to prevent sharing of the data (which is > perfectly achieved with shared libraries that only share the read-only > segements > http://en.wikipedia.org/wiki/Library_%28computing%29#Shared_libraries)? I do want the data to be shared between genode apps that utilize the library. In other words, i'd like there to essentially be a single copy of the variable that is used by these apps/components (like static variables in Java). > I propose to implement the "network sampling thread" in a profiling > "server" that announces its "service" and provides "sessions" to its > "clients" (e.g., the HTTP server). On startup, the client requests a > "session" to "profiling" from its parent. Thereafter, it requests the > dataspace capability via the "profiling session" interface and > attaches the dataspace locally. The resulting virtual start address > can be used to initilialize your sampling "library". This makes sense. In reference to my responses above, I'm thinking there would be a profiling session interface that defines the memory that can be shared, have the server write data to this memory, and the clients can declare a dataspace capability (via attaching the dataspace as you mentioned) to this memory so as to read the contents of this memory. Am I on the right track? Peter ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Genode-main mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/genode-main
