Citrix Systems, Inc.

Other

Vikramjeet Singh

Mukesh Garg

Vivek Koni Raghuveer

Neha Joshi

Venkatesh Vellingiri

Andreas Varnavas

Prabhjeet Singh Chawla

Dhawal Patel

Rahul Gupta

Rishabh Agarwal

Vindhya Gajanan

Syed Mansoor Pasha

Mahesh Vangapalli

Ramnath Repakula

P N Prathima

Akshat Bordia

Priyanka Somashekar

Nikhil Desai Shridhar

William Thomas Georg Charnell

Systems and methods for managing overloaded machines in a virtual environment are provided. A device can include one or more processors, coupled to memory. The device can receive, for time intervals, a metric of performance of hardware of a machine hosting sessions between clients. The device can identify, for the time intervals, a plurality of scores indicative of performance of the corresponding plurality of sessions. The device can trigger an action to perform on the machine or at least one of the sessions responsive to i) the metric of performance of hardware failing a first threshold corresponding to availability of the hardware for a predetermined number of time intervals of the plurality of time intervals, and ii) the at least one of the plurality of scores failing a second threshold corresponding to satisfactory session performance for the same predetermined number of time intervals.

Detecting and managing overloaded machines in a virtual deployment

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.

Managing virtual application performance in a virtual computing environment

Described embodiments provide systems and methods for detection of the degradation of a virtual desktop environment. A computing device may receive data from a plurality of client devices. The computing device may identify a subset of client devices from the plurality of client devices with at least one characteristic in common based on the received data. The computing device may determine a ratio of the identified subset of client devices, the ratio being a comparison of client devices of the subset with a value above a first threshold to a total number of client devices of the subset, and the value being indicative of a characteristic of performance for that client device. The computing device may identify a cause of an anomaly in the performance of the application based on the ratio exceeding a second threshold.

Systems and methods for detection of degradation of a virtual desktop environment

One example disclosed method involves a computing system determining that a first shared computing resource, included among a plurality of shared computing resources managed by a controller, is potentially faulty. The system may configure the controller to identify the first shared computing resource with a tag, the tag configured to cause the controller, in response to a client requesting the controller for access to a first application, to assign the first shared computing resource to deliver the first application to the client. The system may instruct the client to request the controller for access to the first application. The system may determine that the first shared computing resource is faulty based on the client being unable to access the first application at a time of application of the tag to the first shared computing resource. The system may take a corrective action with respect to the first shared computing resource.

Detecting faulty resources of a resource delivery system

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.

Managing performance of elements providing a session via a multi-hop network topology

Automatically detecting whether sessions are routed through proxy servers is provided. The system identifies a log with session information generated by a device for a session established between a client and a server traversing the device. The system compares a source internet protocol ('IP') address for the session identified from the log with IP addresses of proxy servers. The system updates, responsive to a match based on the comparison, the log with an indication that the session was routed through a proxy server.

System and method for automatic detection of third party proxy network traffic

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.

System and method for computation of user experience score for virtual apps and desktop users

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Bengaluru, India

Vikramjeet Singh