Dynamic software updating ksplice

Core OS provides rkt as an implementation of the so-called app container (appc) specification that describes required properties of the application container image (ACI); Core OS initiated appc and ACI as an independent committee-steered set of specifications, Container Linux achieves additional security and reliability of its operating system updates by employing Fast Patch as a dual-partition scheme for the read-only part of its installation, meaning that the updates are performed as a whole and installed onto a passive secondary boot partition that becomes active upon a reboot or kexec.This approach avoids possible issues arising from updating only certain parts of the operating system, ensures easy rollbacks to a known-to-be-stable version of the operating system, and allows each boot partition to be signed for additional security.Chrome OS and Chromium OS, through a common software development kit (SDK).Container Linux adds new functionality and customization to this shared foundation to support server hardware and use cases.The elimination of data wrappers greatly reduces execution overhead for data intensive applications.

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 p ..." We propose a new approach for dynamic software updates.We argue, using actual examples, that this capability is needed to dynamically update common real applications.At the heart of our approach is a stack reconstruction technique that allows all functions on the call stack to be updated at the same time to guarantee that all active functions have the same version after an update.JVOLVE is flexible: it can support 20 of 22 updates to three open-source programs—Jetty web server, Java Email Server, and Cross FTP server—based on actual releases occurring over 1 to 2 years.JVOLVE is efficient: performance experiments show that JVOLVE incurs no overhead during steady-state execution.