Google Inc.

International Business Machines Corporation

The United States of America as Represented by the National Security Agency

Li Yin

Hong Zhang

Sandeep Madhav Uttamchandani

Zhengping Zuo

Mayur Kamat

Param Reddappagari

John Davis Palmer

Guillermo Alvarez

Elizabeth Suzanne Richards

Zhe Wang

Kaladhar Voruganti

Madhukar R Korupolu

Linda Marie Duyanovich

A method may include sending, by a client device, an access request to an authentication server device. The access request may include a request to access an administered resource. The method may include in response to the client device not complying with an administrative policy associated with the administered resource, receiving, from the authentication server device, one or more instructions regarding installation of a client application, receiving, by the client device, a client application in accordance with the instructions, and installing the client application on the client device.

Policy enforcement of client devices

Systems and techniques are disclosed for providing a standard version of an application to a first user, receiving a request for the application from a second user, identifying the second user as a test user, and providing a second version of the application to the second user based on the identification. Interaction events with the second version of the application, by the second user, may be reported and used by the arrangement to modify the second version of the application. Alternatively, a second user may reject the second version of the application and the second user's status may be modified based on the rejection.

Apps store with integrated test support

In one example, a device executes one or more video communication processes that receive audio streams and video streams from a plurality of computing devices participating in a video communication session associated with the one or more video communication processes. The device evaluates one or more properties of the audio streams, including the volume of an audio signal among the audio streams. The device selects a first group of the audio streams to mute in the video communication session, based at least in part on the one or more properties of the audio streams. The device distributes a second group of the audio streams in the video communication session, while muting the first group of audio streams in the video communication session.

Automatic mute control for video conferencing

Disclosed is a storage management framework that integrates corrective action plans output from multiple different types of planning tools, sorts the different corrective action plans based on utility and risk values and outputs a time-based schedule for implementing one or more of the corrective action plans to resolve identified current and anticipated workload service level objective (SLO) violations.

System and method for selecting and scheduling corrective actions for automated storage management

The embodiments of the invention provide a method, computer program product, etc. for risk-modulated proactive data migration for maximizing utility. More specifically, a method of planning data migration for maximizing utility of a storage infrastructure that is running and actively serving at least one application includes selecting a plurality of potential data items for migration and selecting a plurality of potential migration destinations to which the potential data items can be moved. Moreover, the method selects a plurality of potential migration speeds at which the potential data items can be moved and selects a plurality of potential migration times at which the potential data items can be moved to the potential data migration destinations. The selecting of the plurality of potential migration speeds selects a migration speed below a threshold speed, wherein the threshold speed defines a maximum system utility loss permitted.

Risk-modulated proactive data migration for maximizing utility in storage systems

A technique of allocating shared resources in a computer network-based storage system comprises taking periodic performance samples on a running storage system; evaluating an objective function that takes as input the performance samples to quantify how aligned a current state of the storage system is with organizational objectives; building and maintaining models of behavior and capabilities of the storage system by using the performance samples as input; determining how resources of the storage system should be allocated among client computers in the storage system by selecting one among many possible allocations based on predictions generated by the models in order to maximize a value of the objective function; calculating a confidence statistic value for a chosen resource allocation based on an accuracy of the models; and enforcing the chosen resource allocation on the running storage system when the confidence statistic value is at or above a predetermined threshold value.

Approach based on self-evolving models for performance guarantees in a shared storage system

Embodiments herein present a method, system, computer program product, etc. for automated management using a hybrid of prediction models and feedback-based systems. The method begins by calculating confidence values of models. Next, the method selects a first model based on the confidence values and processes the first model through a constraint solver to produce first workload throttling values. Following this, workloads are repeatedly processed through a feedback-based execution engine, wherein the feedback-based execution engine is controlled by the first workload throttling values. The first workload throttling values are applied incrementally to the feedback-based execution engine, during repetitions of the processing of the workloads, with a step-size that is proportional to the confidence values. The processing of the workloads is repeated until an objective function is maximized, wherein the objective function specifies performance goals of the workloads.

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Redmond, WA, United States of America

Li Yin