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This approach has the benefit that any references to f elsewhere in the code or data (i.e., as function pointers) will still work.Function f cannot be running when this change takes place, for obvious reasons.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.With rebootless patching, this disruption is avoided; cf.Facebook’s usage of a modified memcached that supports preserving state across updates.Hackerman B-17 Dynamic software updating (DSU) systems allow programs to be updated while running, thereby permitting developers to add features and fix bugs without downtime.
Proteus permits a program's type structure to change dynamically but guarantees the updated program remains type-correct by ensuring a property we call con-freeness. Noteworthy among his research accomplishments is the development of analysis and compilation tools for enabling software to be safely updated while it runs.He has explored the design of new programming languages and analysis tools for automatically discovering or remediating software flaws and security vulnerabilities.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.Or, if the new code uses two threads to perform some functionality which in the old version requires only one thread, then we need to map the existing thread’s stack to an equivalent one for the new code, and start a new thread to handle the extracted functionality.Changes to in-memory data, like the first example, we call These two descend from earlier research, by Jeff Arnold and Frans Kaashoek, on a solution called Ksplice, which was bought by Oracle in 2011. The basic approach to dynamically updating a function f is to overwrite the first few instructions of the current f to jump to its new version.Consider the following example (distilled from our prior work on dynamically updating Open SSH daemons): Old version: Consider that a process is executing function go, which was not patched, right after function setup returned and before calling function handle.This means that the old version of function setup ran, which did not set the variable global_ptr.First, Kitsune’s updating mechanism updates the whole program, not individual functions.This mechanism is more flexible than most prior approaches and places no restrictions on data representations or allowed compiler optimizations.