The Failure Trace Archive: Enabling the comparison of failure measurements and models of distributed systems

With the increasing presence, scale, and complexity of distributed systems, resource failures are becoming an important and practical topic of computer science research. While numerous failure models and failure-aware algorithms exist, their comparison has been hampered by the lack of public failure data sets and data processing tools. To facilitate the design, validation, and comparison of fault-tolerant models and algorithms, we have created the Failure Trace Archive (FTA)—an online, public repository of failure traces collected from diverse parallel and distributed systems. In this work, we first describe the design of the archive, in particular of the standard FTA data format, and the design of a toolbox that facilitates automated analysis of trace data sets. We also discuss the use of the FTA for various current and future purposes. Second, after applying the toolbox to nine failure traces collected from distributed systems used in various application domains (e.g., HPC, Internet operation, and various online applications), we present a comparative analysis of failures in various distributed systems. Our analysis presents various statistical insights and typical statistical modeling results for the availability of individual resources in various distributed systems. The analysis results ∗Corresponding author. Telephone: +61-2-9685 9181; Fax: +61-2-9685 9245 ∗∗Corresponding author. Telephone: +31-15-2784433; Fax: +31-15-2786632 Email addresses: [email protected] (Bahman Javadi), [email protected] (Alexandru Iosup) Preprint submitted to Journal of Parallel and Distributed Computing March 28, 2013 underline the need for public availability of trace data from different distributed systems. Last, we show how different interpretations of the meaning of failure data can result in different conclusions for failure modeling and job scheduling in distributed systems. Our results for different interpretations show evidence that there may be a need for further revisiting existing failureaware algorithms, when applied for general rather than for domain-specific distributed systems.