Application performance monitoring expert
First Claim
Patent Images
1. A method for expert application performance analysis, comprising:
- receiving a set of enabled applications;
monitoring a network for traffic related to the enabled applications;
filtering performance data relating to the enabled applications from the network traffic;
categorizing the performance data into flows;
prioritizing the flows;
processing the flows based on the priority;
` generating a set of metrics in real time based on the processed flows;
measuring a performance of the applications from a;
client perspective, a server perspective, and a network perspective using the metrics; and
performing threshold-based actions based on the metrics;
wherein the performance data is gathered for transaction-oriented transactions, stream-oriented transactions, and throughput-oriented transactions;
wherein the metrics generated for the transaction-oriented transactions include a command time per transaction, a response time per transaction, an elapsed time from a start of a command to a start of a response, an elapsed time from a start of a command to an end of a response, and a number of failures;
wherein the metrics generated for the stream-oriented transactions include a type of service expected during setup, a type of service actually received, a number of transactions, a number of successful transactions, and a ratio for an accumulated time of disrupted service over transaction time;
wherein the metrics generated for the throughput-oriented transactions include a number of transactions, a number of successful transactions, throughput calculations per transaction, byte rate during the transaction, and response size; and
identifying application subtypes within the application;
wherein flows of the performance data are prioritized;
wherein multiple applications are monitored;
wherein each of the applications is monitored simultaneously when in a flat mode;
wherein each of the applications is monitored sequentially when in a roving mode;
wherein the sequential monitoring is based on an allotted amount of time.
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Abstract
A system, method, and computer program product are provided for expert application performance analysis. An application is monitored. Performance data is gathered during the monitoring. A set of metrics is generated based on the performance data. A performance of the application is measured from at least one of a client perspective, a server perspective, and a network perspective using the metrics.
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Citations
19 Claims
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1. A method for expert application performance analysis, comprising:
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receiving a set of enabled applications;
monitoring a network for traffic related to the enabled applications;
filtering performance data relating to the enabled applications from the network traffic;
categorizing the performance data into flows;
prioritizing the flows;
processing the flows based on the priority;
`generating a set of metrics in real time based on the processed flows;
measuring a performance of the applications from a;
client perspective, a server perspective, and a network perspective using the metrics; and
performing threshold-based actions based on the metrics;
wherein the performance data is gathered for transaction-oriented transactions, stream-oriented transactions, and throughput-oriented transactions;
wherein the metrics generated for the transaction-oriented transactions include a command time per transaction, a response time per transaction, an elapsed time from a start of a command to a start of a response, an elapsed time from a start of a command to an end of a response, and a number of failures;
wherein the metrics generated for the stream-oriented transactions include a type of service expected during setup, a type of service actually received, a number of transactions, a number of successful transactions, and a ratio for an accumulated time of disrupted service over transaction time;
wherein the metrics generated for the throughput-oriented transactions include a number of transactions, a number of successful transactions, throughput calculations per transaction, byte rate during the transaction, and response size; and
identifying application subtypes within the application;
wherein flows of the performance data are prioritized;
wherein multiple applications are monitored;
wherein each of the applications is monitored simultaneously when in a flat mode;
wherein each of the applications is monitored sequentially when in a roving mode;
wherein the sequential monitoring is based on an allotted amount of time. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for expert application performance analysis capable of carrying out a method, the method comprising:
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receiving a set of enabled applications;
monitoring a network for traffic related to the enabled applications;
filtering performance data relating to the enabled applications from the network traffic;
categorizing the performance data into flows;
prioritizing the flows;
processing the flows based on the priority;
generating a set of metrics in real time based on the processed flows;
measuring a performance of the applications from a;
client perspective, a server perspective, and a network perspective using the metrics; and
performing threshold-based actions based on the metrics;
wherein the performance data is gathered for transaction-oriented transactions, stream-oriented transactions, and throughput-oriented transactions;
wherein the metrics generated for the transaction-oriented transactions include a command time per transaction, a response time per transaction, an elapsed time from a start of a command to a start of a response, an elapsed time from a start of a command to an end of a response, and a number of failures;
wherein the metrics generated for the stream-oriented transactions include a type of service expected during setup, a type of service actually received, a number of transactions, a number of successful transactions, and a ratio for an accumulated time of disrupted service over transaction time;
wherein the metrics generated for the throughput-oriented transactions include a number of transactions, a number of successful transactions, throughput calculations per transaction, byte rate during the transaction, and response size; and
identifying application subtypes within the application;
wherein flows of the performance data are prioritized;
wherein multiple applications are monitored;
wherein each of the applications is monitored simultaneously when in a flat mode;
wherein each of the applications is monitored sequentially when in a roving mode;
wherein the sequential monitoring is based on an allotted amount of time. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A computer program product embodied on a computer readable medium for expert application performance analysis capable of carrying out a method, the method comprising:
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receiving a set of enabled applications;
monitoring a network for traffic related to the enabled applications;
filtering performance data relating to the enabled applications from the network traffic;
categorizing the performance data into flows;
prioritizing the flows;
processing the flows based on the priority;
generating a set of metrics in real time based on the processed flows;
measuring a performance of the applications from a;
client perspective, a server perspective, and a network perspective using the metrics; and
performing threshold-based actions based on the metrics;
wherein the performance data is gathered for transaction-oriented transactions, stream-oriented transactions, and throughput-oriented transactions;
wherein the metrics generated for the transaction-oriented transactions include a command time per transaction, a response time per transaction, an elapsed time from a start of a command to a start of a response, an elapsed time from a start of a command to an end of a response, and a number of failures;
wherein the metrics generated for the stream-oriented transactions include a type of service expected during setup, a type of service actually received, a number of transactions, a number of successful transactions, and a ratio for an accumulated time of disrupted service over transaction time;
wherein the metrics generated for the throughput-oriented transactions include a number of transactions, a number of successful transactions, throughput calculations per transaction, byte rate during the transaction, and response size; and
identifying application subtypes within the application;
wherein flows of the performance data are prioritized;
wherein multiple applications are monitored;
wherein each of the applications is monitored simultaneously when in a flat mode;
wherein each of the applications is monitored sequentially when in a roving mode;
wherein the sequential monitoring is based on an allotted amount of time.
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Specification