Abstract: A data processing system includes a host computer, an additional computer, an application module including a first executable code, a module for analyzing said first executable code and a module for generating a second executable code segmented notably into code blocks which are executed in a preferential manner on one of the two computers. The second executable code includes a sub-module for managing the distribution of the processing operations between the host computer and the additional computer and a sub-module for managing the additional computer as a virtual machine which executes the blocks allocated to the additional computer.

Abstract: A data processing system includes a host computer, an additional computer, an application module including a first executable code, a module for analyzing said first executable code and a module for generating a second executable code segmented notably into code blocks which are executed in a preferential manner on one of the two computers. The second executable code includes a sub-module for managing the distribution of the processing operations between the host computer and the additional computer and a sub-module for managing the additional computer as a virtual machine which executes the blocks allocated to the additional computer.

Abstract: Analytic tests are used to detect chaotic (power-tail) behavior in one or more computer system resources in a distributed computing environment. The analytic tests are used to determine if data (indicative of one or more parameters related to computer system resources) exhibit large deviations from a mean, a high variance and other properties consistent with large values in the tail portion of a power-tail distribution. The tests can be performed in any order, and fewer than three can be performed. If all three tests indicate the existence of power-tail behavior, chaotic behavior of the data is likely. If all three tests indicate the lack of power-tail behavior, chaotic behavior of the data is unlikely. If the results are mixed, then more data or analysis may be needed. The results may be used for modeling and/or altering the configuration of the distributed computing environment.

Abstract: A set of algorithms for detecting a renewal power-tall behavior which often relates to chaotic system activities in one or more computer system resources of a distributed computing environment, i.e., an enterprise. Analysis and/or prediction software receives a set of metric data points from agent software on one or more computer systems. The analysis and/or prediction software performs three analytic tests relating to distinctive properties of power tail distributions: a first test to determine whether the set of data points exhibits large deviations from the mean, a second test to determine whether the set of data points exhibits a high variance, and a third test to determine whether the set of the largest data points exhibits properties consistent with large values in a tall portion of a power-tall distribution. The tests can be performed in any order, and in other embodiments, fewer than three can be performed.

Abstract: A set of algorithms for detecting a renewal power-tail behavior which often relates to chaotic system activities in one or more computer system resources of a distributed computing environment, i.e., an enterprise. Analysis and/or prediction software receives a set of metric data points from agent software on one or more computer systems. The analysis and/or prediction software performs three analytic tests relating to distinctive properties of power-tail distributions: a first test to determine whether the set of data points exhibits large deviations from the mean, a second test to determine whether the set of data points exhibits a high variance, and a third test to determine whether the set of the largest data points exhibits properties consistent with large values in a tail portion of a power-tail distribution. The tests can be performed in any order, and in other embodiments, fewer than three can be performed.