Vmware, Inc.

Oracle America, Inc.

Sun Microsystems, Inc.

Oracle International Corporation

Nvidia Corporation

Ayasdi Ai LLC

Ayasdi, Inc.

Symphonyai Sensa LLC

Lawrence Spracklen

Rishi Bidarkar

Banit Agrawal

Vijayaraghavan Soundararajan

Santosh Abraham

Hari Sivaraman

Christopher Hans Olson

Gregory Frederick Grohoski

Yuan C Chou

Emre Celebi

Nils Gura

Vikram Makhija

Uday Pundalik Kurkure

Tariq Magdon-Ismail

Gurjeet Singh

Ryan Hsu

Stevan A Vlaovic

Guillermo Juan Rozas

Leonard D Rarick

Hans Eberle

Adam R Talcott

Magnus Ekman

Sheueling Chang Shantz

Rohit Kumar

Harish Muppalla

Robert T Golla

John Robert Rose

Paul Caprioli

Sanjay Patel

Sherman H Yip

Darryl J Gove

Zoran Radovic

Thomas Alan Ziaja

Farnad Sajjadian

Steven R Hart

Warren Ponder

Sothea Soun

An example method comprises receiving data points, determining at least one size of a plurality of subsets based on a constraint of at least one computation device or an analysis server, transferring each of the subsets to different computation devices, each computation device selecting a group of data points to generate a first sub-subset of landmarks, add non-landmark data points that have the farthest distance to the closest landmark to create an expanded sub-subset of landmarks, create an analysis landmark set based on a combination of expanded sub-subsets of expanded landmarks from different computation devices, perform a similarity function on the analysis landmark set, generate a cover of the mathematical reference space to create overlapping subsets, cluster the mapped landmark points based on the overlapping subsets, create a plurality of nodes, each node being based on the clustering, each landmark point being a member of at least one node.

Scalable topological summary construction using landmark point selection

Exemplary methods, apparatuses, and systems include a client virtual machine processing a system call for a device driver to instruct a physical device to perform a function and transmitting the system call to an appliance virtual machine to execute the system call. The client virtual machine determines, in response to the system call, that an established connection with the appliance virtual machine has switched from a first protocol to a second protocol, the first and second protocols including a high-performance transmission protocol and Transmission Control Protocol and Internet Protocol (TCP/IP). The client virtual machine transmits the system call to the appliance virtual machine according to the second protocol. For example, the established connection may switch to the second protocol in response to the client virtual machine migrating to the first host device from a second host device.

High-performance processing in a virtualization environment

Methods, systems, and computer programs for measuring quality of multimedia delivery to a client are presented. A method includes operations for embedding video markers in a video stream of a multimedia stream, and embedding audio markers in an audio stream of the multimedia stream. The video stream and the audio stream are then transmitted separately to the client. Further, video markers received at the client are extracted from the transmitted video stream, and audio markers received at the client are extracted from the transmitted audio stream. A measure of the audio-video synchronization quality is obtained by determining a quantifiable time difference between the video stream and the audio stream received at the client, where the quantifiable time difference is calculated based on the extracted video markers and the extracted audio markers.

Quality evaluation of multimedia delivery in cloud environments

In a computer-implemented method to facilitate administration of a virtualization infrastructure, operational conditions of members of the virtualization infrastructure are monitored by a social network monitoring agent, wherein the members of the virtualization infrastructure are mapped to a social network such that at least a portion of the members of the virtualization infrastructure are also members of the social network. A group of members of the virtualization infrastructure is automatically created within the social network based at least in part on the operational conditions.

Creating a group of members based on monitoring a social network

In a computer-implemented method to facilitate administration of a virtualization infrastructure, posted messages of members of a virtualization infrastructure are displayed, wherein the posted messages comprise tags identifying operational conditions of the members of the virtualization infrastructure. Responsive to a selection of a particular tag, the members of the virtualization infrastructure that posted a message comprising the particular tag are displayed.

Tagged messages to facilitate administration of a virtualization infrastructure

The current application is directed to architected hardware support within computer processors for detecting and monitoring various types of potential performance imbalances with respect to simultaneously executing hardware threads in simultaneous multi-threading ('SMT') processors and SMT-processor cores. The architected hardware support may include various types of performance-imbalance-monitoring registers that accumulate indications of performance imbalances and that can be used, by performance-monitoring software and by human analysts to detect performance-degrading conflicts between simultaneously executing hardware threads. Such conflicts can be ameliorated by changing the scheduling of virtual machines, tasks, and other computational entities, by redesigning and re-implementing all or portions of performance-limited and performance-degrading applications, by altering resource-allocation strategies, and by other means. In addition, performance imbalance detection and monitoring can be used to provide accurate, computational-throughput-based accounting in cloud-computing environments.

Performance-imbalance-monitoring processor features

Image data representing a desktop image for a client device that is accessing the desktop remotely is compressed according to a method that preserves image fidelity in selected non-text regions. The method, which is carried out in a remote server, includes the steps of generating image data for the remote desktop image and analyzing different regions of the remote desktop image, identifying those regions of the remote desktop image that are text regions, selecting non-text regions of the remote desktop image for lossless compression based on a spatial relationship between the non-text regions and the text regions, compressing the image data using a lossless compression protocol for a portion of the image data corresponding to the selected non-text regions, and transmitting the compressed image data to the client device.

Using contextual and spatial awareness to improve remote desktop imaging fidelity

Methods, systems, and computer programs for monitoring quality of audio delivered over a communications channel are presented. One method includes an operation for defining timestamps. The timestamps are associated with a measure of time while delivering audio to a client computer, where each timestamp includes a plurality of timestamp bits. Further, the method includes an operation for modulating an audio signal with pseudo noise (PN) codes when a timestamp bit has a first logical value, and modulating the audio signal with a negative of the PN codes when the timestamp bit has a second logical value. After transmitting the modulated audio signal to the client computer, the timestamp bits are extracted from a received modulated audio signal to obtain received timestamps. The quality of the audio is assessed based on the received timestamps, and the quality of the audio is stored in computer memory.

Monitoring audio fidelity and audio-video synchronization

In a computer-implemented method to facilitate administration of a virtualization infrastructure, operational conditions of members of the virtualization infrastructure are monitored, wherein the members of the virtualization infrastructure are mapped to a social network such that at least a portion of the members of the virtualization infrastructure are also members of the social network. A group of members of the virtualization infrastructure is created within the social network based at least in part on the operational conditions.

The disclosure herein describes a client-side system that enhances user experience on a remoting client without consuming additional network bandwidth. During operation, the system receives a sequence of frame updates for a display screen, and determines a sequence of frames corresponding to the frame updates. The system further adaptively applies one or more image enhancing techniques to the sequence of frames based on available network bandwidth, frame refresh rate, or image quality. The image enhancement techniques include predicting a frame based on previously received frames, interpolating a frame based on at least two buffered frames, and reducing appearance of artifacts in a received frame, thereby reducing visual artifacts.

Method and system for enhancing user experience for remoting technologies

In one embodiment, a client device configured to remotely access a desktop hosted by a server system determines an event related to a user input for a desktop operation directed to the desktop. The client device receives a plurality of updates to a desktop graphical user interface (GUI) from the desktop hosted by the server system. Then, the client device correlates the event to an update in the plurality of updates to the desktop GUI based on a rule in a set of rules correlating events to updates. A metric is monitored for the update and information measured for the metric is stored.

Passive monitoring of live virtual desktop infrastructure (VDI) deployments

Growing community of inventors

Boulder Creek, CA, United States of America

Lawrence Spracklen