Abstract: An anomaly detection method and system determine network status by monitoring network activity. A statistics based profile for said network over a period is generated to analyze potentially anomalous network activity to determine if said network activity is anomalous by comparing current activity against the profile. Using the profile as a reference, the anomaly detection system and process estimate and prioritize potentially anomalous network activity based on the probability that the behavior is anomalous. The level of severity that the anomaly detection process uses to determine if an alarm is needed is based on comparing user-adjustable thresholds to the current probability. If the threshold has been breached, the user is alerted, subject to other quality checks. After a reporting cycle concludes, the anomaly detection system and process recompiles the statistics based profile to take into account the information observed in the previous reporting cycle.

Abstract: Techniques for visualizing and monitoring the quality of service for a computer network. Herein, a method and system monitor network transactions and behaviors for the computing network, which computing network includes one or more client subnets accessing one or more servers, The monitoring may be independent of client site monitors. Statistical data is gathered for relating to at least the network, the server, and the applications for generating a plurality of measurements. The measurements assess at least one quality of service indicator associated with the performance of the computer network. The method and system graphically display the plurality of measurements of the quality of service indicator according to the date and time of gathering the statistical data and further display graphically the degree by which each of the measurements of the quality of service indicator varies from a predetermined threshold quality of service level for the computing network.

Abstract: An anomaly detection method and system determine network status by monitoring network activity. A statistics based profile for said network over a period is generated to analyze potentially anomalous network activity to determine if said network activity is anomalous by comparing current activity against the profile. Using the profile as a reference, the anomaly detection system and process estimate and prioritize potentially anomalous network activity based on the probability that the behavior is anomalous. The level of severity that the anomaly detection process uses to determine if an alarm is needed is based on comparing user-adjustable thresholds to the current probability. If the threshold has been breached, the user is alerted, subject to other quality checks. After a reporting cycle concludes, the anomaly detection system and process recompiles the statistics based profile to take into account the information observed in the previous reporting cycle.

Abstract: Techniques for visualizing and monitoring the quality of service for a computer network. Herein, a method and system monitor network transactions and behaviors for the computing network, which computing network includes one or more client subnets accessing one or more servers, the monitoring may be independent of client site monitors. Statistical data is gathered for relating to at least the network, the server, and the applications for generating a plurality of measurements. The measurements assess at least one quality of service indicator associated with the performance of the computer network. The method and system graphically display the plurality of measurements of the quality of service indicator according to the date and time of gathering the statistical data and further display graphically the degree by which each of the measurements of the quality of service indicator varies from a predetermined threshold quality of service level for the computing network.

Abstract: Techniques for visualizing and monitoring the quality of service for a computer network. Herein, a method and system monitor network transactions and behaviors for the computing network, which computing network includes one or more client subnets accessing one or more servers, the monitoring may be independent of client site monitors. Statistical data is gathered for relating to at least the network, the server, and the applications for generating a plurality of measurements. The measurements assess at least one quality of service indicator associated with the performance of the computer network. The method and system graphically display the plurality of measurements of the quality of service indicator according to the date and time of gathering the statistical data and further display graphically the degree by which each of the measurements of the quality of service indicator varies from a predetermined threshold quality of service level for the computing network.

Abstract: Techniques for visualizing and monitoring the quality of service for a computer network. Herein, a method and system monitor network transactions and behaviors for the computing network, which computing network includes one or more client subnets accessing one or more servers, The monitoring may be independent of client site monitors. Statistical data is gathered for relating to at least the network, the server, and the applications for generating a plurality of measurements. The measurements assess at least one quality of service indicator associated with the performance of the computer network. The method and system graphically display the plurality of measurements of the quality of service indicator according to the date and time of gathering the statistical data and further display graphically the degree by which each of the measurements of the quality of service indicator varies from a predetermined threshold quality of service level for the computing network.