Abstract: Self-tuned detection of memory leaks or other resource leaks is described. Sample size and sample rate are set manually or computationally selected. Self-tuning leak detection code uses one or more self-tuning mechanisms to exclude outlier sample points, to perform a second order linear regression, and/or to identify a derivative of a sequence of linear regression slopes. Statistical analysis computationally proactively determines what trend is present: upward, steady, or downward. Analysis may compare a linear regression slope to a threshold at which the slope realizes an upward trend, possibly only after crossing the threshold a specified number of times. Regression calculation may be optimized by setting an origin to the median of the time values and setting a scale to their constant time interval. A watchdog may use self-tuned detection to monitor processes, for efficiently recycling processes to prevent problems caused by resource loss.

Abstract: Self-tuned detection of memory leaks or other resource leaks is described. Sample size and sample rate are set manually or computationally selected. Self-tuning leak detection code uses one or more self-tuning mechanisms to exclude outlier sample points, to perform a second order linear regression, and/or to identify a derivative of a sequence of linear regression slopes. Statistical analysis computationally proactively determines what trend is present: upward, steady, or downward. Analysis may compare a linear regression slope to a threshold at which the slope realizes an upward trend, possibly only after crossing the threshold a specified number of times. Regression calculation may be optimized by setting an origin to the median of the time values and setting a scale to their constant time interval. A watchdog may use self-tuned detection to monitor processes, for efficiently recycling processes to prevent problems caused by resource loss.

Abstract: A strategy is described for synchronizing components of a product with respect to a reference. The strategy first supplies a manifest associated with a current version of the product. The manifest identifies the components within the product and unique identifiers associated with the components. A recipient system can compare the manifest with a locally-maintained version of the product, thereby identifying a manner in which the locally-maintained version should be modified. The recipient system can then selectively download the components that need to be added or changed. Alternatively, the recipient system can download an entire collection of components associated with the product if this is determined to be more efficient.