Summarized Trace Indexing and Querying for Scalable Back-in-Time Debugging

Pothier, Guillaume; Eric, Tanter

doi:10.1007/978-3-642-22655-7_26

Cited by 13 publications

(9 citation statements)

References 13 publications

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“…In practice, however, there is ample opportunity for optimizating the writing and reading of such traces, and scalable implementations can be quite sophisticated [6]. In particular, recording a full copy of the store at every event can be expensive, and more practical implementations will instead record individual changes to the store incrementally.…”

Section: Recording and Reading Tracesmentioning

confidence: 99%

Essential retroactive weaving

Salkeld

García

2015

Companion Proceedings of the 14th International Conference on Modularity

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To help analyze unexpected behaviour, programming language environments and tools are beginning to support high-fidelity recordings of program executions. Such recordings are typically low-level and difficult to work with directly. Debugging and analyzing these recordings is easier and more powerful if it is possible to simulate executing additional code in the past context of the recording. In prior work we proposed retroactive weaving, the process of evaluating aspects as if they were present during a past execution. This concept is intended as a general framework for introducing additional code and defining the semantics of executing it post-hoc.In this paper we express retroactive weaving as a transformation on aspect-oriented programming languages and their semantics. We demonstrate this transformation by applying it to a simple core aspect-oriented language, and through a definitional interpreter illustrate its interactions with first-class function values, mutable state, and external input and output. In particular a key concern of retroactive weavers is maintaining soundness: behaving consistently with the context of the past execution, and failing if missing information makes this impossible. Retroactive weavers may need to include extra isolation or runtime checks to meet this requirement.

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Section: Recording and Reading Tracesmentioning

confidence: 99%

Essential retroactive weaving

Salkeld

García

2015

Companion Proceedings of the 14th International Conference on Modularity

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“…STIQ (Summarized Trace Indexing and Querying) [27] has been recently proposed as an efficient solution to debug a Java program during real-time. The solution saves traces of program executions onto the hard disk and caches the summary information in an "Execution Block" to link indexed data.…”

Section: Related Workmentioning

confidence: 99%

Event Indexing and Searching for High Volumes of Event Streams in the Cloud

Wang

Holub

Murphy

et al. 2012

2012 IEEE 36th Annual Computer Software and Applications Conference

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Deployed software applications use log files to keep a record of system events. Log analysis provides support for system administrators to gain the knowledge of system health and behavior. As a result, the ability to efficiently search for patterns in historical events has become a major requirement for timely analysis.Enterprise systems today produce high volumes of log data, regularly in the order of thousands of events per second, which requires to build inverted indexes for quick data retrieval. However, current inverted indexing techniques are rarely designed to handle high volumes of dynamic stream data and often resource consuming. We propose an efficient indexing solution, which reduces the necessary resources by employing bloom filter techniques. The solution builds a generic indexing engine for the Run Time Correlation Engine logging framework to achieve efficient monitoring in the Cloud. In particular, our solution is able to deliver significant performance improvement over existing indexing engines.

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“…In contrast, heavyweight fine-grained execution trace collection introduces up to an order of magnitude slowdown [12,20]. Generated traces and their indices [23,24] are very large and often limited by the size of main memory.…”

Section: Visualizing and Exploring Recordings And Tracesmentioning

confidence: 99%

Interactive record/replay for web application debugging

Burg

Bailey

et al. 2013

Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology

113

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During debugging, a developer must repeatedly and manually reproduce faulty behaviors in order to inspect different facets of the program's execution. Existing tools for reproducing such behaviors prevent the use of debugging aids such as breakpoints and logging, and are not designed for interactive, random-access exploration of recorded behavior. This paper presents Timelapse, a tool for quickly recording, reproducing, and debugging interactive behaviors in web applications. Developers can use Timelapse to browse, visualize, and seek within recorded program executions while simultaneously using familiar debugging tools such as breakpoints and logging. Testers and end-users can use Timelapse to demonstrate failures in situ and share recorded behaviors with developers, improving bug report quality by obviating the need for detailed reproduction steps. Timelapse is built on Dolos, a novel record/replay infrastructure that ensures deterministic execution by capturing and reusing program inputs both from the user and from external sources such as the network. Dolos introduces negligible overhead and does not interfere with breakpoints and logging. In a small user evaluation, participants used Timelapse to accelerate existing reproduction activities, but were not significantly faster or more successful in completing the larger tasks at hand. Together, the Dolos infrastructure and Timelapse developer tool support systematic bug reporting and debugging practices.

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Summarized Trace Indexing and Querying for Scalable Back-in-Time Debugging

Cited by 13 publications

References 13 publications

Essential retroactive weaving

Essential retroactive weaving

Event Indexing and Searching for High Volumes of Event Streams in the Cloud

Interactive record/replay for web application debugging

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