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Execution histories are ordered by cost effectiveness, defined as performance (the exact metric may vary) divided by estimated cost.
In CAMEL, application models are associated with execution histories collected from application deployments over different cloud infrastructures.
Finally, concurrent processing of transactions requires that execution histories be correct, an objective traditionally achieved with serializability.
None of these platforms abstract code structure through modeling or enhance user interactions through the use of analytics over application execution histories.
Positive highlights include the importance of application execution histories, the automatically generated hints based on data analysis, and the employment of social features in community-building activities.
A monitoring mechanism is envisioned and under development within the PaaSage execution platform [14], however other mechanisms can be adapted to contribute execution histories to this repository.
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Thus, we need techniques to manage the execution history.
Fig. 24 The execution history of different cloud deployments.
Regression testing approaches may also consider test case execution history and/or applied modifications.
Dynamic features, which model a large execution history, are problematic for WCET analysis.
This caching of the execution history is actually fundamental for performance enhancements.
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