Qualcomm Incorporated

Google Inc.

Texas Instruments Corporation

Vmware, Inc.

Apple Inc.

Intel Mobile Communications Gmbh

Intel Deutschland Gmbh

Vishal I Gupta

Gargi Adhav

Kan Cai

Vikas Aggarwal

Timothy Michael Johnson

Hau Hwang

Jisoo Lee

Tushar Sinha Pankaj

Xiaoyu Zhang

Hui Liu

Joseph Duncan

Rajendra Yavatkar

Sivasankari Krishnanji

Ning Zhao

Kumar Gaurav

Chandrashekhar Jha

Ankur Chauhan

Aditya Gopisetti

Sushil Verma

Sankarnarayan Jagannathan

Thayumanavan Sridhar

Todd Robert Sutton

Amit Kumar

Anne Holler

Pradeep Padala

Raj Yavatkar

Srenik Suresh Mehta

Gabriel Alfonso Ricon-Mora

Yehonatan Perez

Aalap Desai

Subrato Roy

Bhaskar Ramachandran

Nilay D Jani

Dattatreya Baragur Suryanarayana

Sivaraj M

Mageshwaran Rajendran

Rajat Garg

Ganapathi Shankar

James Edward Wells

Prasun K Raha

David R Olson

Chi-Fan Yung

Chifan Yung

Nikhil Ayyagari

Paragkumar Chaudhari

Khoi Tran

Saar Noam

A firewall intelligence system, includes a data storage storing a set of firewall rules for a network; a recommendation engine that receives, from a log service, traffic logs detailing traffic for the network and firewall logs detailing the usage of firewall rules in response to the traffic for the network, accesses, from the data storage, the set of firewall rules for the network; processes the set of firewall rules to evaluate the firewall rules against a set of quantitative evaluation rules to determine one or more firewall rule recommendations, wherein each firewall rule recommendation is a recommendation to change at least one of the firewall rules in the set of firewall rules; and a front end API that provides data describing the one or more firewall rule recommendations to a user device.

Firewall rules intelligence

A system for simulating network configurations includes data processing hardware and memory hardware in communication with the data processing hardware. The memory hardware stores instructions that when executed on the data processing hardware cause the data processing hardware to perform operations. The operation includes receiving one or more parameter changes for a production network model of a network. The operations also include generating a simulation network model including the one or more parameter changes. Another operation includes analyzing the simulated network flow within the simulation network model. The operations also include generating a report including an impact of the parameter changes on the network. The operations may also include receiving a production network log including a recorded workflow for the production network model and simulating the production workflow of the production network log within the simulation network model to generate a simulated network log.

Change impact simulation analysis

Techniques are provided for using one or more machine learning systems to process input data including image data. The input data including the image data can be obtained, and at least one machine learning system can be applied to at least a portion of the image data to determine at least one color component value for one or more pixels of at least the portion of the image data. Based on application of the at least one machine learning system to at least the portion of the image data, output image data for a frame of output image data can be generated. The output image data includes at least one color component value for one or more pixels of the frame of output image data. Application of the at least one machine learning system causes the output image data to have a reduced dimensionality relative to the input data.

Image signal processor for processing images

A system for simulating network configurations includes data processing hardware and memory hardware in communication with the data processing hardware. The memory hardware stores instructions that when executed on the data processing hardware cause the data processing hardware to perform operations. The operations includes receiving one or more parameter changes for a production network model of a network. The operations also include generating a simulation network model including the one or more parameter changes. Another operation includes analyzing the simulated network flow within the simulation network model. The operations also include generating a report including an impact of the parameter changes on the network. The operations may also include receiving a production network log including a recorded workflow for the production network model and simulating the production workflow of the production network log within the simulation network model to generate a simulated network log.

Aspects of the disclosed technology comprise generating firewall rules based on traffic, outputting the generated firewall rules to an output file, and using the output file to set firewall rules in a network. The firewall rules may be generated without a priori knowledge of the network; alternatively no firewall rules are required. Generated rules may be tuned for user preferences to adjust for the number of generated firewall rules, and their over or under inclusiveness to non-historic traffic data.

Inferring firewall rules from network traffic

A personal electronic device can include a main printed circuit board having disposed thereon a processing unit, one or more auxiliary circuits coupled to the main printed circuit board by one or more corresponding flexible printed circuits and one or more temperature sensors disposed on one of the flexible printed circuits. A processing unit of the portable electronic device can be configured to monitor the one or more temperature sensors, provide a warning in response to a monitored temperature exceeding a first threshold, and to cause a shutdown of at least a portion of the personal electronic device in response to the monitored temperature exceeding a second threshold. The temperature sensors can be negative temperature coefficient resistors.

Prevention and detection of overheating from component short circuits

A device includes a relative temperature detector configured to determine a temperature difference between a device temperature sensed near a switch device and an ambient temperature sensed outside the switch device. The relative temperature detector is configured to generate a relative temperature output signal based on comparing the temperature difference to a relative temperature threshold. A power detector is configured to generate a power level signal based on comparing an indication of switch power of the switch device to a power threshold. The power level signal specifies whether the indication of switch power is above or below the power threshold. A thermal capacity control is configured to disable the switch device based on the power level signal specifying that the indication of switch power is above the power threshold and based on the relative temperature output signal indicating the temperature difference is above the relative temperature threshold.

Thermal capacity control for relative temperature-based thermal shutdown

A system can provide a visual representation of an inventory of data entities for a distributed computing system. Inventory data including cost and operational data for data entities such as data centers, servers, and virtual machines, can be converted into a format file. The format file can be used to create a tree of nodes and node summaries corresponding to the data entities. A user interface can display hierarchical and isolated views of the tree revealing parent child relationships between data entities within a computing system infrastructure. Node summaries including cost and utilization data can be displayed to reveal how specific sub-costs such as labor and licensing, are driven by data entities in one level of the infrastructure and pushed to respective parent or child data entities in other levels. Views of the tree can be used to determine areas of inefficiency or reduced value within the computing system.

Visualizing data center inventory and entity relationships

Methods, apparatus, systems and articles of manufacture are disclosed for preventing undesired triggering of short circuit or over current protection. An example apparatus includes an output terminal; a voltage detection device coupled to a voltage detection input terminal and the output terminal and including a voltage detection output coupled to a logic gate first input terminal; a pulse extender coupled between a logic gate output and a selecting node; a multiplexer coupled to the selecting node and configured to be coupled to a first protection circuit, a second protection circuit, and a driver; and a switch coupled between an input terminal and the output terminal and including a switch gate terminal coupled to the driver.

Methods and apparatus to prevent undesired triggering of short circuit or over current protection

The disclosure provides an approach for managing an application workload on a computer system that includes data centers. The application workload includes first application instances running on a first data center and second application instances running on a second data center. The method comprises collecting usage data of first application instances, usage data of second application instances, and combining the collected data. The method further comprises evaluating the combined data to determine low health in least one application instance, and restarting the at least one application instance or creating a new application instance. The method further comprises evaluating the combined data to determine whether to change size of the application workload, and in which data center to place a second new application instance if increasing size. The method further comprises contacting a component of the chosen data center to place the second new application instance within a local host machine.

Autonomic management of multi-site cloud infrastructure

Growing community of inventors

Atlanta, GA, United States of America

Vishal I Gupta