Timing the Application of Security Patches for Optimal Uptime
LISA '02 Proceedings of the 16th USENIX conference on System administration
Towards a Self-Managing Software Patching Process Using Black-Box Persistent-State Manifests
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Dynamic instrumentation of production systems
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
Flight data recorder: monitoring persistent-state interactions to improve systems management
OSDI '06 Proceedings of the 7th symposium on Operating systems design and implementation
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Patching of applications on servers and PCs is a significant source of expense and frustration for IT staff. Organizations are concerned that patches will negatively impact the stability of their existing applications, and this concern results in significant delays in applying patches to publicly announced vulnerabilities of the applications. While Tracing based Pre-patch Impact Analysis method (T-PIA) is an effective way of measuring the actual impact of recent patches on the applications, it causes large storage and bandwidth usage of servers and PCs running the applications. We propose and evaluate a method to reduce such usage caused by T-PIA. Compared to the existing method, our method reduces storage and bandwidth usage by 83 and 89%, respectively. This verifies the ability of our method to reduce such usage.