The Boeing Company

Rodolfo Acuna Santiago

Changzhou Wang

Guijun Wang

Alice Chen

Robert J Winig

Surya Sundar Raj Durairaj

Alyssa Marie De Leon

Arun Ojha

Ian Gareth Angus

Greg A Kimberly

Haiqin Wang

Sharon Filipowski Arroyo

Alimuddin Mohammad

Raju Shankar Mattikalli

Kyle M Hadley

Casey Fung

Stephen A Uczekaj

Sangeeta Suresh Patro

Nicholas Multari

Thomas Goff

Claudiu Bogdan Sherry Danilov

Shiang-Yu Lee

Steve Uczekaj

Victor Lukasik

Claudia B Danilov

Greg Kimberly

Changhou Wang

Victor J Lukasik

Casey K Fung

Nicholas J Multari

A method for managing computing resources on a vehicle with line-replaceable units (LRUs) including respective allocated system resources for tasks the LRUs are designed to perform and respective unallocated system resources that are available is provided. Implementations of the method include identifying the LRUs and applying a middleware layer across the LRUs to establish an edge computing infrastructure in which the LRUs operate as edge nodes. The middleware layer receives information from the edge nodes identifying the unallocated system resources and identifies data sources onboard the vehicle, data provided by those sources, and tasks to be performed using the data. The middleware further determines expected operational performance of the edge computing infrastructure and distributes the tasks to be performed across the edge nodes based on the expected operational performance of the edge computing infrastructure.

Distributed edge computing platform for vehicles

An aircraft is configured to perform onboard analytics using available onboard systems. The aircraft comprises a cabin and crew network core with a middleware layer comprising an orchestrator configured to send application containers to a number of cabin and crew network smart members to perform the onboard analytics; and the number of cabin and crew network smart members each having a respective edge member daemon, each edge member daemon configured to place a respective cabin and crew network smart member in a joined state with the middleware layer and release resources of the respective cabin and crew network smart member when it leaves a joined state and enters a busy state so that the edge member daemon does not interfere with a primary function of the respective cabin and crew network smart member.

Onboard analytics system and methods of use

Herb flower grinder including flip handle

A computing device includes an interface configured to communicate with a second computing device, a memory configured to store a first copy of a file that is synchronized with a second copy of the file stored at the second computing device, and a processor. The processor is configured, in response to receiving an update to the file while the interface is unable to communicate with the second computing device, to access versioning management data indicating synchronization settings associated with each of a plurality of files that includes the file. The processor is configured to, conditioned on determining that the versioning management data indicates a first synchronization setting associated with the file, write the update to the first copy, and conditioned on determining that the versioning management data indicates a second synchronization setting associated with the file, refrain from writing the update to the first copy.

Distributed data management system and method

Techniques are disclosed for securing backup operational data (e.g., of an aircraft) maintained by a line-replaceable unit (LRU) in a removable storage media device. The LRU generates a first encryption key. The LRU encrypts the operational data using the first encryption key. The LRU generates a second encryption key based on key data of at least a second LRU. The LRU encrypts the first encryption key using the second encryption key.

Secure removable storage for aircraft systems

A wireless device detection computer device for determining the location of wireless device is provided. The WDD computer device includes a processor in communication with a memory. The processor is configured to receive a plurality of status messages from a plurality of anchor points. Each status message of the plurality of status messages includes a received signal strength associated with a first wireless signal received at the corresponding anchor point from a first wireless device. The processor is also configured to determine a plurality of subsets of the plurality of anchor points, determine a potential location of the first wireless device for each of the plurality of subsets, generate a clustering of the plurality of potential locations, select a first group of the plurality of subsets based on the clustering, and calculate a final location of the first wireless device.

System and method for estimating wireless device positions

A method for administering object-based multi-level security in a service oriented architecture includes: (a) defining a plurality of multi-level security attributes for each of selected respective life-cycle states of a plurality of life-cycle states of a service object; (b) receiving a request from a requestor for the service object; (c) determining permitted actions for the service object based upon at least one selected multi-level security attribute of the plurality of multi-level security attributes, and based upon at least one life-cycle state of the plurality of life-cycle states of the service object; and (d) generating a quality of service security contract based upon the determination of permitted actions.

Method and system for object-based multi-level security in a service oriented architecture

A method of managing information system resources to provide a message flow having a consistent level of quality of service (QoS) within and across a plurality of interconnected middleware domains is described. The method includes receiving a QoS message from a first QoS manager expressing at least one QoS requirement, translating the at least one QoS requirement to at least one parameter specific to a messaging service that communicatively couples multiple middleware domains, creating a client connection between a first middleware domain and the messaging service for receiving the message flow, transmitting the QoS message to a second middleware domain, and creating a client connection between the messaging service and the second middleware domain for transmitting the message flow.

Quality of service management for message flows across multiple middleware environments

A method determining distribution of a shared resource among nodes in a network includes: (a) identifying each node according to a function performed by the node; brokers collecting messages from the nodes and disseminating messages among the nodes; publishers originating messages for transmission via the network; subscribers receiving messages transmitted via the network; (b) in no particular order: (1) identifying a need for each node; and (2) identifying the shared resource available for distribution; (c) communicating the shared resource available for distribution within the network to the brokers; and (d) operating each broker to: (1) coordinate communication with all other brokers and individually apply an algorithm to optimally allocate the shared resource among the brokers; or (2) communicate with a central facility coupled with each broker while the central facility applies an algorithm to optimally allocate the shared resource among the brokers.

Method for determining distribution of a shared resource among a plurality of nodes in a network

Growing community of inventors

Bellevue, WA, United States of America

Rodolfo Acuna Santiago