Citrix Systems, Inc.

Marcos Alejandro Di Pietro

Thierry Duchastel

Philip Wiebe

Jacob Maynard

Raja Mummidi

Raymond Matthew Sampson

Anjaneya Padmakar Akondi

Kevin Joseph Webster

Ashish Gujarathi

Luis Atencio

A technique for dynamically provisioning virtual machines for running a cloud-based software application includes querying a pool manager of a multi-tiered pool of virtual machines to identify a set of classes of virtual machines, which meet a specified size criterion, and a respective TVC (time-variant characteristic) for each class. If an identified one of the set of classes has a smaller TVC than a TVC of one of the virtual machines currently running the application, the technique proceeds to swap the current virtual machine for a virtual machine having the identified class.

Dynamically provisioning virtual machines from remote, multi-tier pool

A computing device may include a memory and a processor cooperating with the memory to enroll with a server having a metadata anonymization policy associated therewith, generate metadata and combine the metadata with respective user content data, where the computing device has a given metadata permission policy associated therewith from among a plurality of different metadata permission policies. The processor may further determine user content data having metadata combined therewith in violation of the metadata anonymization policy, and when the given metadata permission policy permits modification of metadata, modify the metadata in violation of the metadata anonymization policy so that only the modified metadata is accessible when the user content data is accessed.

Computing system providing metadata modification policy enforcement and related methods

Methods, systems, and computer-readable media for processing policy variance requests in an enterprise computing environment are presented. A computing platform may receive, from a first endpoint computing device, a request for a first policy variance. In response to receiving the request, the computing platform may authenticate the first endpoint computing device based on enrollment information and may validate contents of the request. Subsequently, the computing platform may generate a policy variance result message based on approval or rejection of the request for the first policy variance. Then, the computing platform may send, to the first endpoint computing device, the policy variance result message. By sending the policy variance result message to the first endpoint computing device, the computing platform may cause the first endpoint computing device to execute a policy action corresponding to the approval or rejection of the request for the first policy variance.

Processing policy variance requests in an enterprise computing environment

Methods and systems for recording, tracking, and analyzing digital software usage in a distributed database that is used by multiple participants are described herein. A single usage event may occur, and may be identified by a client device. The usage event may be emitted to one or more nodes, which may include an aggregator node and/or one or more validator nodes. A block in a distributed database may be created to record the usage event. A mixed-mode mechanism may be used by one or more devices to validate the usage event.

Mobile auditable and tamper-resistant digital-system usage tracking and analytics

A computing system may include a EMM server having a metadata anonymization policy associated therewith, and a client computing device configured to generate metadata and combine the metadata with respective user content data, with the client computing device having a metadata permission policy associated therewith. The client computing device may be further configured to enroll with the server, determine user content data having metadata combined therewith in violation of the metadata anonymization policy, and when the metadata permission policy permits separation of the metadata from the user content data, strip the metadata from the user content data so that the metadata is inaccessible when the user content data is accessed.

Computing system providing enterprise mobility management metadata anonymity policy enforcement and related methods

Described embodiments provide systems and methods for data encryption. A server communicating data with a client can determine a level of data encryption on the data that the server is capable of handling according to resources available to the server. A level of data encryption can include a type of encryption and a strength of the type of data encryption. The server can receive a level of data encryption on the data that the client is capable of handling according to resources available to the client. The server can identify a level of data encryption with which the server and the client agree to proceed, according to the determined level of data encryption and the received level of data encryption. The server, following a predefined interval, can identify an updated level of data encryption with which the server and the client agree to proceed.

Method for encrypting data streams with negotiable and adaptable encryption levels

Disclosed embodiments describe systems and methods for prioritizing messages for conversion from text to speech. A message manager can execute on a device. The message manager can identify a plurality of messages accessible via the device and can determine, for each message of the plurality of messages, a conversion score based on one or more parameters of each message. The conversion score can indicate a priority of each message to convert from text to speech. The message manager can identify a message of the plurality of messages for transmission to a text-to-speech converter for converting the message from text to speech. The message manager can also receive, from the text-to-speech converter, speech data of the message to play via an audio output of the device.

Systems and methods for prioritizing messages for conversion from text to speech based on predictive user behavior

Embodiments describe systems and methods for prioritizing messages for conversion from text to speech. A message manager can execute on a device. The message manager can identify a plurality of messages accessible via the device and can determine, for each message of the plurality of messages, a conversion score based on one or more parameters of each message. The conversion score can indicate a priority of each message to convert from text to speech. The message manager can identify a message of the plurality of messages for transmission to a text-to-speech converter for converting the message from text to speech. The message manager can also receive, from the text-to-speech converter, speech data of the message to play via an audio output of the device.

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Hallandale Beach, FL, United States of America

Marcos Alejandro Di Pietro