Dynamic software updating hicks traditional dating and internet dating the pros and cons

Kpatch additionally requires that changed functions are not , meaning they are not referenced by any process’s call stack at the time of an update (which it checks after pausing all processes). The assumption is that the control state of the old and new kernel will be the same when no changed functions are active.As such, delaying the update until this condition is satisfied means the control state of the running kernel is valid for the new code. Unfortunately, this assumption fails to account for the of prior execution of changed functions on the program’s data, even if the role of that data is the same between versions.Performance experiments show that for Flash Ed, the overhead due to updating is low: typically less than 1 percent.Dynamic software updating (DSU) enables running programs to be updated with new code and data without interrupting their execution.

We discuss how patches are generated mostly automatically, how they are applied using dynamic-linking technology, and how code is compiled to make it updateable.To concretely illustrate our system, we have implemented a dynamically updateable web server, Flash Ed.We discuss our experience building and maintaining Flash Ed, and generalize to present observations about updateable software development.Or, imagine upgrades to systems hosting in-memory databases: Right now, you have to checkpoint the DB to stable storage, stop the system, upgrade it, restart it, read the data from stable storage, and restart service.Just the checkpointing and re-reading from disk could take tens of minutes.

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