Amazon Technologies, Inc.

Microsoft Technology Licensing, LLC

Xevo Inc.

Other

Samuel James McKelvie

Anurag Windlass Gupta

Matthew David Klein

Michael David Marr

Pradeep Jnana Madhavarapu

Yan Valerie Leshinsky

James McClellan Corey

Robert Victor Welland

Pradeep Vincent

Benjamin Tobler

John Hayes Ludwig

Ian Paul Nowland

John Palmer Cordell

Darin Lee Frink

Neal Thomas Fachan

Bradley Gene Calder

Jagwinder Singh Brar

Jacob Adam Gabrielson

Peter Nicholas Desantis

Richendra Khanna

Edward L Wallace

Justin Mason

Christopher Richard Newcombe

Richard Chia Tsing Tong

David A Nichols

Ju Wang

Aaron William Ogus

Laurion Darrell Burchall

Mathew James Dickson

Peter George Ross

Vladimir Sadovsky

Grant Alexander Macdonald McAlister

David Edward Bryan

John D Mehr

Navjot Virk

Oscar Ricardo Moll Thomae

Richard Chia-Tsing Tong

Noah Harrison Fradin

Raymond Edward Ozzie

Maximiliano Maccanti

Gary Shon Katzenberger

Christopher Nathan Watson

Adam Douglas Morley

Raman Mittal

Chia-Chi Teng

Siddhartha Puri

David H Tryon

Jonathan E Marbry

Hakon Gabriel Verespej

Matt Pope

Phillip Lee Bogle

Joseph H Matthews, Iii

Stephen P Capps

Kristin E Lauter

Sriram Krishnan

Arild Einar Skjolsvold

Tengiz Kharatishvili

Daniel S Glasser

George Joy

Richard Wales Stoakley

Elissa E S Murphy

Bradley M Schick

Christopher Lee Fraley

Victor A Stone

Walter W Smith

Thomas R Reardon

Lin F Shaw

Zhe Yang

Xinran Wu

Vikram Dhaneshwar

Lin Fon-Shaw

Arlid E Skjolsvold

Joe D Belfiore

James Mcclellan Corey

A network device can include packet processing circuitry to provide support for virtual functions. The packet processing circuitry can perform operations such as receiving data traffic from a virtual machine, determining an egress rule for the data traffic based on a rule table, and encapsulating the data traffic according to the egress rule.

Frameworks and interfaces for offload device-based packet processing

Generally described, systems and methods are provided for monitoring and detecting causes of failures of network paths. The system collects performance information from a plurality of nodes and links in a network, aggregates the collected performance information across paths in the network, processes the aggregated performance information for detecting failures on the paths, analyzes each of the detected failures to determine at least one root cause, and initiates a remedial workflow for the at least one root cause determined. In some aspects, processing the aggregated information may include performing a statistical regression analysis or otherwise solving a set of equations for the performance indications on each of a plurality of paths. In another aspect, the system may also include an interface which makes available for display one or more of the network topology, the collected and aggregated performance information, and indications of the detected failures in the topology.

Monitoring and detecting causes of failures of network paths

A database system may include a database service and a separate distributed storage service. The database service (or a database engine head node thereof) may be responsible for query parsing, optimization, and execution, transactionality, and consistency, while the storage service may be responsible for generating data pages from redo log records and for durability of those data pages. For example, in response to a write request directed to a particular data page, the database engine head node may generate a redo log record and send it, but not the data page, to a storage service node. The storage service node may store the redo log record and return a write acknowledgement to the database service prior to applying the redo log record. The server node may apply the redo log record and other redo log records to a previously stored version of the data page to create a current version.

Database system with database engine and separate distributed storage service

A network device can include packet processing circuitry to provide support for virtual functions. The packet processing circuitry can perform operations such as receiving data traffic associated with a physical address, determining that the data traffic is associated with a guest of a host system by matching the data traffic with an ingress rule associated with a virtual function, and forwarding the data traffic to the virtual function.

A log-structured data store implementing data backup may implement variable data replication. Write requests may be received at different storage nodes maintaining respective replicas of a portion of a log for data maintained in the log-structured data store. Log records indicating the write requests may be stored in the respective replicas of the log portions at the different storage nodes. The log records may be sent to a backup data store to be durability persisted as part of an archived version of the log. At some of the storage nodes, in response to determining that the log records have been durably persisted in the backup data store, storage space for the log records may be reclaimed. In other remaining storage nodes, the log records may be retained and made accessible for servicing read requests.

Variable data replication for storage implementing data backup

High-speed processing of packets to, and from, a virtualization environment can be provided while utilizing hardware-based segmentation offload and other such functionality. A hardware vendor such as a network interface card (NIC) manufacturer can enable the hardware to support open and proprietary stateless tunneling in conjunction with a protocol such as single root I/O virtualization (SR-IOV) in order to implement a virtualized overlay network. The hardware can utilize various rules, for example, that can be used by the NIC to perform certain actions, such as to encapsulate egress packets and decapsulate packets.

The transmission of data on computer networks according to one or more policies is disclosed. A policy may specify, among other things, various parameters which are to be followed when transmitting initiating network traffic. Multiple network interfaces may be installed on a server to enable transmission of data from the single server according a number of discrete configuration settings implicated by the various policies. The multiple network interfaces may correspond to separate physical components, with each component configured independently to implement a feature of a policy. The multiple network interfaces may also correspond to a single physical component that exposes multiple network interfaces, both to the network and to the server on which it is installed.

Network policy implementation with multiple interfaces

One embodiment of the present invention discloses a process of providing a report predicting potential risks relating to an operator driving a vehicle using information obtained from various interior and exterior sensors, vehicle onboard computer ('VOC'), and cloud network. After activating interior and exterior sensors mounted on a vehicle operated by a driver for obtaining data relating to external surroundings and internal environment, the data is forwarded to VOC for generating a current fingerprint associated with the driver. The current fingerprint represents current driving status in accordance with the collected real-time data. Upon uploading the current fingerprint to the cloud via a communications network, a historical fingerprint which represents historical driving information associated with the driver is retrieved. In one aspect, the process is capable of generating a driving analysis report which predicts potential risks associated with the driver according to the current and historical fingerprints.

Method and system for providing artificial intelligence analytic (AIA) services using operator fingerprints and cloud data

A database system may implement efficient database journaling using non-volatile system memory. An update to a database may be received, and log records indicating the update may be generated. A non-volatile portion of the system memory may be directly accessed to store the generated log records such that in the event of a failure of the database, the log records may be still maintained. Log records stored to the non-volatile portion of the system memory may be identified as durably persisted, in some embodiments. Log records may be identified and sent to block-based storage, in some embodiments. Recovery from a database system failure, in some embodiments, by obtaining log records from the non-volatile portion of system memory.

Efficient database journaling using non-volatile system memory

A distributed database system may implement dynamic quorum group membership changes. In various embodiments, a quorum set may maintain a replica of a data object among group members according to a protection group policy for the data object. A group member may be identified as to be replaced. In response, a new quorum set may be created from the remaining group members and a new group member. The protection group policy may be updated to include the new group members such that subsequently received updates are maintained at both the previous to quorum set and the new quorum set. Previously received updates may be replicated on the new group member. Upon completion of replicating the previously received updates, the protection group policy for the data object may be revised such that subsequently received updates are maintained at the new quorum set.

Dynamic quorum membership changes

A method or system is capable of detecting operator behavior ('OB') utilizing a virtuous cycle containing sensors, machine learning center ('MLC'), and cloud based network (&#x201c;CBN&#x201d;). In one aspect, the process monitors operator body language captured by interior sensors and captures surrounding information observed by exterior sensors onboard a vehicle as the vehicle is in motion. After selectively recording the captured data in accordance with an OB model generated by MLC, an abnormal OB (&#x201c;AOB&#x201d;) is detected in accordance with vehicular status signals received by the OB model. Upon rewinding recorded operator body language and the surrounding information leading up to detection of AOB, labeled data associated with AOB is generated. The labeled data is subsequently uploaded to CBN for facilitating OB model training at MLC via a virtuous cycle.

Method and system for providing behavior of vehicle operator using virtuous cycle

Growing community of inventors

Seattle, WA, United States of America

Samuel James McKelvie