Abstract: A method, system, and apparatus are provided for diagnosing network faults by distributing network test policies to remote devices that issue network tests and report network test results from a first remote device which attempts to access a first network resource over a first specified network path, where a central portal responds to a first network test result by issuing a command to one or more additional remote devices to issue one or more additional network tests for evaluating at least part of the first specified network path and report network verification test results having data which is aggregated with data from the first network test result report for use in proactively diagnosing the network fault in the first specified network path.

Abstract: A method, system, and apparatus are provided for diagnosing network faults by distributing network test policies to remote devices that issue network tests and report network test results from a first remote device which attempts to access a first network resource over a first specified network path, where a central portal responds to a first network test result by issuing a command to one or more additional remote devices to issue one or more additional network tests for evaluating at least part of the first specified network path and report network verification test results having data which is aggregated with data from the first network test result report for use in proactively diagnosing the network fault in the first specified network path.

Abstract: A method, system, and apparatus are provided for diagnosing network faults by distributing network test policies to remote devices that issue network tests and report network test results from a first remote device which attempts to access a first network resource over a first specified network path, where a central portal responds to a first network test result by issuing a command to one or more additional remote devices to issue one or more additional network tests for evaluating at least part of the first specified network path and report network verification test results having data which is aggregated with data from the first network test result report for use in proactively diagnosing the network fault in the first specified network path.

Abstract: A method, system, and apparatus are provided for diagnosing network faults by distributing network test policies to remote devices that issue network tests and report network test results from a first remote device which attempts to access a first network resource over a first specified network path, where a central portal responds to a first network test result by issuing a command to one or more additional remote devices to issue one or more additional network tests for evaluating at least part of the first specified network path and report network verification test results having data which is aggregated with data from the first network test result report for use in proactively diagnosing the network fault in the first specified network path.

Abstract: An approach for two stage log normalization is provided. The approach retrieves a message format and a plurality of parameters from one or more log files. The approach determines a classification for one or more first sequence files, wherein the one or more first sequence files includes the message format from the one or more log files. The approach determines a classification of error for the one or more first sequence files. The approach determines whether there is a high confidence in the classification of error for the one or more first sequence files. The approach determines whether there is an improvement in confidence in the classification of error from one or more second sequence files, wherein the one or more second sequence files includes the message format and the plurality of parameters from the one or more log files.

Abstract: An approach for two stage log normalization is provided. The approach retrieves a message format and a plurality of parameters from one or more log files. The approach determines a classification for one or more first sequence files, wherein the one or more first sequence files includes the message format from the one or more log files. The approach determines a classification of error for the one or more first sequence files. The approach determines whether there is a high confidence in the classification of error for the one or more first sequence files. The approach determines whether there is an improvement in confidence in the classification of error from one or more second sequence files, wherein the one or more second sequence files includes the message format and the plurality of parameters from the one or more log files.

Abstract: An approach for two stage log normalization is provided. The approach retrieves a message format and a plurality of parameters from one or more log files. The approach determines a classification for one or more first sequence files, wherein the one or more first sequence files includes the message format from the one or more log files. The approach determines a classification of error for the one or more first sequence files. The approach determines whether there is a high confidence in the classification of error for the one or more first sequence files. The approach determines whether there is an improvement in confidence in the classification of error from one or more second sequence files, wherein the one or more second sequence files includes the message format and the plurality of parameters from the one or more log files.

Abstract: An approach for two stage log normalization is provided. The approach retrieves a message format and a plurality of parameters from one or more log files. The approach determines a classification for one or more first sequence files, wherein the one or more first sequence files includes the message format from the one or more log files. The approach determines a classification of error for the one or more first sequence files. The approach determines whether there is a high confidence in the classification of error for the one or more first sequence files. The approach determines whether there is an improvement in confidence in the classification of error from one or more second sequence files, wherein the one or more second sequence files includes the message format and the plurality of parameters from the one or more log files.

Abstract: An approach for two stage log normalization is provided. The approach retrieves a message format and a plurality of parameters from one or more log files. The approach determines a classification for one or more first sequence files, wherein the one or more first sequence files includes the message format from the one or more log files. The approach determines a classification of error for the one or more first sequence files. The approach determines whether there is a high confidence in the classification of error for the one or more first sequence files. The approach determines whether there is an improvement in confidence in the classification of error from one or more second sequence files, wherein the one or more second sequence files includes the message format and the plurality of parameters from the one or more log files.

Abstract: An approach for two stage log normalization is provided. The approach retrieves a message format and a plurality of parameters from one or more log files. The approach determines a classification for one or more first sequence files, wherein the one or more first sequence files includes the message format from the one or more log files. The approach determines a classification of error for the one or more first sequence files. The approach determines whether there is a high confidence in the classification of error for the one or more first sequence files. The approach determines whether there is an improvement in confidence in the classification of error from one or more second sequence files, wherein the one or more second sequence files includes the message format and the plurality of parameters from the one or more log files.