Abstract: Managing performance of elements providing a session via a multi-hop network topology is provided. A system receives values for factors associated with elements that form hops in a multi-hop network topology. The system determines a performance metric for each hop using the values for one or more factors selected from the factors. The system identifies a hop of the hops as having a performance issue based on the performance metric for the hop exceeding a threshold. The system selects, responsive to the performance metric of the hop exceeding the threshold, an action to take on at least one element forming the hop.

Abstract: Described are systems and methods of detecting processes causing degradation of machine performance using heuristics. A device may identify a plurality of time intervals having a use of a resource on a machine above a threshold. The device may identify a percentage of the use of the resource by each of a plurality processes on the machine using the resource during each time interval of the plurality of time intervals. The device may determine a score for each process of the plurality processes based at least on a function of the percentage of the use of the resource over one or more of the plurality of time intervals in which each process used the resource. The device may provide, for display, a selection of one or more processes from the plurality of processes ranked by the score.

Abstract: Described embodiments provide systems, methods, and computer readable media for generating environment descriptors. A device having at least one process may identify a plurality of feature vectors. Each vector may describe a corresponding access to an application hosted on a server in one of a plurality of network environments and having a corresponding performance metric. The device may provide a performance model using the plurality of feature vectors and the corresponding performance metrics. The performance model may be used to determine expected performance metrics for at least a first network environment. A first environment descriptor of the expected performance metrics may be generated for at least the first network environment. The first environment descriptor of the expected performance metrics may be used to assess a measured performance metric or a second environment descriptor of a second network environment.

Abstract: Managing performance of elements providing a session via a multi-hop network topology is provided. A system receives values for factors associated with elements that form hops in a multi-hop network topology. The system determines a performance metric for each hop using the values for one or more factors selected from the factors. The system identifies a hop of the hops as having a performance issue based on the performance metric for the hop exceeding a threshold. The system selects, responsive to the performance metric of the hop exceeding the threshold, an action to take on at least one element forming the hop.

Abstract: Systems and methods of managing virtual application performance in a virtual computing environment are provided. A system determines an application interaction score based on corresponding application interaction factors associated with sessions. The system determines the application interaction score for each virtual application accessed during each of the sessions. The system generates an aggregated application interaction score for each of the sessions based at least on combining the application interaction score for each of the virtual applications accessed during a corresponding session. The system performs an action based at least in part on the aggregated application interaction score to improve performance of a virtual application accessed via the virtual computing environment.

Abstract: Described embodiments provide systems and methods for measuring user experience with virtual or hosted desktops or applications, with scores calculated based on weights determined during a supervisory learning process. The scores are multivariate across a number of factors that affect user experience, enabling administrators to easily and efficiently identify trends and degradations or improvements to a system. This allows the administrator to take mitigating actions, fully implement temporary adjustments, or perform other such functions to improve the working of the system based on the real-time measurement and analysis of user experience.

Abstract: Described embodiments provide systems, methods, and computer readable media for generating environment descriptors. A device having at least one process may identify a plurality of feature vectors. Each vector may describe a corresponding access to an application hosted on a server in one of a plurality of network environments and having a corresponding performance metric. The device may provide a performance model using the plurality of feature vectors and the corresponding performance metrics. The performance model may be used to determine expected performance metrics for at least a first network environment. A first environment descriptor of the expected performance metrics may be generated for at least the first network environment. The first environment descriptor of the expected performance metrics may be used to assess a measured performance metric or a second environment descriptor of a second network environment.

Abstract: Described embodiments provide systems and methods for measuring user experience with virtual or hosted desktops or applications, with scores calculated based on weights determined during a supervisory learning process. The scores are multivariate across a number of factors that affect user experience, enabling administrators to easily and efficiently identify trends and degradations or improvements to a system. This allows the administrator to take mitigating actions, fully implement temporary adjustments, or perform other such functions to improve the working of the system based on the real-time measurement and analysis of user experience.