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  • 1.
    Simonsson, Jesper
    et al.
    KTH.
    Zhang, Long
    KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.
    Morin, Brice
    Baudry, Benoit
    KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Software and Computer systems, SCS.
    Monperrus, Martin
    KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.
    Observability and Chaos Engineering on System Calls for Containerized Applications in DockerManuscript (preprint) (Other academic)
    Abstract [en]

    In this paper, we present a novel fault injection system called ChaosOrca for system calls in containerized applications. ChaosOrca aims at evaluating a given application's self-protection capability with respect to system call errors. The unique feature of ChaosOrca is that it conducts experiments under production-like workload without instrumenting the application. We exhaustively analyze all kinds of system calls and utilize different levels of monitoring techniques to reason about the behaviour under perturbation. We evaluate ChaosOrca on three real-world applications: a file transfer client, a reverse proxy server and a micro-service oriented web application. Our results show that it is promising to detect weaknesses of resilience mechanisms related to system calls issues.

  • 2.
    Zhang, Long
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Theoretical Computer Science, TCS.
    Monperrus, Martin
    KTH.
    TripleAgent: Monitoring, Perturbation And Failure-obliviousness for Automated Resilience Improvement in Java ApplicationsManuscript (preprint) (Other academic)
    Abstract [en]

    In this paper, we present a novel system for fault injection in production for Java applications. The unique feature of this system is to combine automated monitoring, automated perturbation injection, and automated resilience improvement. The latter is achieved with ideas coming from the failure-oblivious literature. We design and implement the system as agents for the Java virtual machine. We evaluate the system on a real-world application for transferring files with the BitTorrent protocol. Our results shows that it is possible to automatically improve the resilience of Java applications with respect to uncaught exceptions.

  • 3.
    Zhang, Long
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Theoretical Computer Science, TCS.
    Morin, Brice
    Haller, Philipp
    Baudry, Benoit
    Monperrus, Martin
    A Chaos Engineering System for Live Analysis and Falsification of Exception-handling in the JVMManuscript (preprint) (Other academic)
    Abstract [en]

    Software systems contain resilience code to handle those failures and unexpected events happening in production. It is essential for developers to understand and assess the resilience of their systems. Chaos engineering is a technology that aims at assessing resilience and uncovering weaknesses by actively injecting perturbations in production. In this paper, we propose a novel design and implementation of a chaos engineering system in Java called CHAOSMACHINE. It provides a unique and actionable analysis on exception-handling capabilities in production, at the level of try-catch blocks. To evaluate our approach, we have deployed CHAOSMACHINE on top of 3 large-scale and well-known Java applications totaling 630k lines of code. Our results show that CHAOSMACHINE reveals both strengths and weaknesses of the resilience code of a software system at the level of exception handling.

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