Dynamic software updating ksplice reputable online dating

Posted by / 18-Jun-2020 16:22

Dynamic software updating ksplice

This approach allows updating applications that until now could not be updated at runtime at all or could be updated but with a possibly indefinite delay between the time an update is initiated and the time the update is effected (during this period no service is provided).

Unlike existing approaches, we allow arbitrary changes to functions active on the stack and without requiring the programmer to anticipate the future evolution of a program.

Experimental results demon-strate that our techniques yield low run-time perfor-mance overhead (less than 5 % on average on both SPEC and syscall-intensive benchmarks) and limited run-time memory footprint increase (around 15 % during the exe-cution of our benchmarks).

We believe our techniques can greatly enhance the level of OS security without compromising the performance and reliability of the OS. live rerandomization technique is in the general area of dynamic software updating.

The elimination of data wrappers greatly reduces execution overhead for data intensive applications.

Up Stare supports the update of applications anywhere during their exe... In recent years, the deployment of many application-level countermeasures against memory errors and the in-creasing number of vulnerabilities discovered in the ker-nel has fostered a renewed interest in kernel-level ex-ploitation.

Many solutions have been proposed to apply run-time updates to user programs [51, 47, 8, 19] and operating systems =-=[48, 10, 9]-=-.

These benefits come at the cost of 35–127 % in execution time overhead and of 4–150 GB of log space per day, depending on the workload.These results demonstrate that this work is a significant step towards practical support for dynamic updates in virtual machines for managed languages. By contrast, C and C implementations must use either staticallyinserted indirections [22, 32, 39, 5, 24] or dynamically-inserted trampolines to redirect function calls =-=[2, 12, 13, 3]-=-.Both cases impose persistent overhead on normal execution and inhibit optimization. Dynamic software updating (DSU) addresses this problem by updating programs while they execute, but existing DSU systems for managed languages do not support many update ..." Software evolves to fix bugs and add features. Stopping and restarting programs to apply changes is inconvenient and often costly.

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JVOLVE implements these updates by adding to and coordinating VM classloading, just-in-time compilation, scheduling, return barriers, on-stack replacement, and garbage collection.