Patent classifications
H04L67/562
Systems and methods for device connectivity management
Devices and methods for device connectivity management are disclosed. According to one embodiment, a system for device connectivity management may include a plurality of client devices, each client device supporting a plurality of communication channels; and a broker in communication with each of the client devices over each supported communication channel, the broker comprising at least one computer processor. Each client may send a subscription message to the broker over each supported communication channel. The broker may send each subscribed client a keep alive message over each subscribed supported communication channel, and may broker publish a status message to each subscribed client over each subscribed supported communication channel for a non-responding client. One of the plurality of clients may execute an action in response to the status message.
Systems and methods for device connectivity management
Devices and methods for device connectivity management are disclosed. According to one embodiment, a system for device connectivity management may include a plurality of client devices, each client device supporting a plurality of communication channels; and a broker in communication with each of the client devices over each supported communication channel, the broker comprising at least one computer processor. Each client may send a subscription message to the broker over each supported communication channel. The broker may send each subscribed client a keep alive message over each subscribed supported communication channel, and may broker publish a status message to each subscribed client over each subscribed supported communication channel for a non-responding client. One of the plurality of clients may execute an action in response to the status message.
Dynamic management of network policies between microservices within a service mesh
Systems, methods and/or computer program products optimizing network policies between microservices of a service mesh. The service mesh tracks incoming API calls of applications and based on the historical transactions, the context of API calls, and the microservices in the microservice chain being invoked, network controls and policy configurations are set to optimize the transactions performed by the service mesh. Dimensions of the communications between microservices of the service mesh are dynamically optimized via the service mesh control plane using a policy optimizer. Optimized dimensions of service mesh transactions includes automated policy adjustments to retries between microservices, circuit breaking between microservices, automated timeout adjustments between microservices and intelligent rate limiting between microservices and/or rate limiting applied to user profiles.
Dynamic management of network policies between microservices within a service mesh
Systems, methods and/or computer program products optimizing network policies between microservices of a service mesh. The service mesh tracks incoming API calls of applications and based on the historical transactions, the context of API calls, and the microservices in the microservice chain being invoked, network controls and policy configurations are set to optimize the transactions performed by the service mesh. Dimensions of the communications between microservices of the service mesh are dynamically optimized via the service mesh control plane using a policy optimizer. Optimized dimensions of service mesh transactions includes automated policy adjustments to retries between microservices, circuit breaking between microservices, automated timeout adjustments between microservices and intelligent rate limiting between microservices and/or rate limiting applied to user profiles.
SINGLE PAIR ETHERNET SENSOR DEVICE AND SENSOR NETWORK
A sensor device may include an environmental sensor configured to sense an environmental parameter and generate a signal representative thereof, a single pair ethernet (SPE) interface configured to cooperate with an SPE link, and a controller provided in communication with the environmental sensor and the SPE interface. The controller may be configured to receive the signal representative of the sensed environmental parameter and to control the SPE interface to generate at least one ethernet frame including data indicative of the sensed environmental parameter for transmission over the SPE link. The controller may be further configured to automatically configure communication with a remote server over the SPE link via the SPE interface.
Systems and methods for simplified recording and sharing of data
A method, computer program product, and computer system for receiving, by a computing device, data from a client device, the data being a piece of data from a source of digital content. A file may be created that includes the received data, the file being accessible by a file system executable on the computing device. An icon may be generated within a user interface of the file system in response to creation of the file, the icon configured to copy the received data to a cache in response to input received on the icon, and the copy of the received data within the cache may be accessible to one or more applications. The copy of the received data may be provided from the cache to at least one application accessible by the computing device so as to share the data received without accessing the file created.
Distributed data stream programming and processing
Techniques are described herein for distributed data stream programming and processing. The techniques include sending a request indicating one or more regions of a program code to access a stream in a stream pool and to execute on a processing node in a processing nodes pool. The techniques also include accessing the stream defined in the one or more regions of the program code to service the request. Thereafter, the processing node is selected to use for execution of the one or more regions of the program code and the processing node executes one or more instances of the one or more regions of the program code.
Hub and Spoke Publish-Subscribe
Techniques for hub and spoke publish-subscribe are described herein. In some examples, an outgoing-data database comprising addresses of remote device hubs on respective remote devices is maintained. First data is received from a first process operating on the device. The first data is sent to a first remote hub associated with a first remote device and associated with an entry in the outgoing-data database. An incoming-data database is maintained to associate processes operating on the device with data to which the processes subscribe. Second data is received from a second device hub associated with a second device. It is determined—by reference to the incoming-data database—that the second data is data subscribed-to by a second process operating on the device. The second data is sent to the second process.
AUTOMATED SERVICES EXCHANGE
Methods, apparatus, and processor-readable storage media for providing an automated services exchange are described herein. An example computer-implemented method includes obtaining provider requests from one or more service providers, wherein each of the provider requests comprises an indication of at least one type of service provided by the corresponding service provider and attributes associated with the at least one type of the service; processing the provider requests, wherein the processing for a respective one of the provider requests comprises generating a corresponding set of metrics associated with the at least one type of service and the attributes of the respective provider request; and matching a given one of the provider requests to at least one consumer request based at least in part on: the processing and constraints identified in the at least one consumer request with respect to at least a portion of the attributes of the given provider request.
OPTIMIZING DEPLOYMENT OF MACHINE LEARNING WORKLOADS
A system for optimizing deployment of a machine learning workload is provided. A computer device receives information pertaining to a machine learning workload to be processed for a client device. The computer device determines a machine learning model for the workload and a processing location for the workload based, at least in part, on the information. The computer device generates a request to process the workload at the determined processing location utilizing the determined machine learning model.