Citrix Systems, Inc.

Saurabh Pant

Praveen Raja Dhanabalan

Vladimir Vysotsky

Anup Lal Gupta

Srinivasarao Nelluri

Described embodiments provide systems and method for intelligent path selection to reduce latency and maintain security. A client can request access to a server and multiple connections can be initiated to the requested destination, for example, a direct connection from a branch office and a backhauled connection through a data center. Traffic via the second connection can be controllable by application of at least one rule of the data center. A device can determine a delay in the exchange of data via the connections and a security level of the connections. The determination of the delay in the exchange of data via the another connection can be based on in part feedback about the application of the rule. The device can connect a client device to a server through one of the connections using the determination of the delay and the security level of the connection.

Intelligent path selection systems and methods to reduce latency

The present disclosure describes a system and method to reduce the overall time taken to complete distributed process workflows. Each workflow can include multiple actions that are completed by or at different client devices. The actions of a workflow can be dependent on prior actions in the workflow. For example, a second client device may not be able to complete a second action until a first client device completes a first action in the workflow. The system can predict time periods and the geolocations where client devices are most likely to complete an assigned action. Using the selected time periods and geolocations, the system can transmit notifications to the client devices when the action is most likely to be completed.

System and method to optimize workflow

Methods and systems described herein are directed towards using artificial intelligence to recommend network features to add to networks. A network configuration system may determine the network components and usage characteristics for a network within a plurality of networks. The network configuration system may use an ensemble to generate recommendations based on the network components and usage characteristics of the plurality of networks. The ensemble may include one or more machine learning based recommenders. The ensemble may also include a non-personalized recommender that generates recommendations based on known compatibility between network features. The network configuration system may weight recommendations from each recommender to create a ranked ordering of the recommendations. The network configuration system may modify (e.g., add or remove network features) one or more networks based on the recommendations and/or user input. As networks are modified, the network configuration system may train each recommender to provide better recommendations.

Network configuration system

Methods and systems for securely sharing files with user devices based on location are described herein. A computing device may receive, from a user device, a request to share a file. The computing device may determine other user devices at the location of the user device desiring to share a file. Unique tokens and/or unique session identifiers may be generated to facilitate secure sharing of the file, and each token and/or session identifier may correspond to a different user device. The computing device may send, to each different user device, the device's corresponding token and/or session identifier. The computing device may also send, to the user device desiring to share the file, the tokens and/or session identifiers for the other user devices. The user device may securely send the file to one or more of the other user devices using the tokens and/or session identifiers.

Securely sharing files with user devices based on location

The systems and methods discussed herein provide for faster access to frequently utilized resources through intelligent bandwidth usage-based content pre-fetching. An intelligent acceleration and caching device may monitor bandwidth utilization over a time period and create a regression-based model to predict bandwidth utilization in subsequent time periods. When predicted utilization is below a threshold, the device may pre-fetch frequently accessed content, providing low-latency access and faster performance, without exceeding connection allocation limits.

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Bengaluru, India

Saurabh Pant