Abstract: A processor-implemented method is disclosed. The method includes: obtaining sensor readings from a plurality of sensors associated with a plurality of homes; receiving, from a computing device associated with a first one of the plurality of homes, a request for a live home score; determining, based on first sensor readings for at least one sensor associated with the first one of the plurality of homes and second sensor readings from corresponding sensors associated with at least a second one of the plurality of homes, a live home score for the first one of the plurality of homes; and sending the live home score to the computing device associated with the first one of the plurality of homes.

Abstract: A system for embedding users' preferences and behaviors based on interactions with an array of devices.

Abstract: Service providers can be identified to fulfill service requests of a network-based service. A network system is configured to generate, based on historical data associated with the network-based service, a machine-learned service provider optimization (MLSPO) model for generating service provider optimizations. The optimizations can include action recommendations that optimize one or more service metrics. The MLSPO model can be a reinforcement learning model generated by performing a plurality of simulations utilizing one or more virtual agents. A provider device of a service provider can transmit a set of data to the network system that indicates a current location of the service provider. Based on the current location and the MLSPO model, the network system can generate service provider optimizations. Optimization data can be transmitted to the provider device so that the provider device can display information corresponding to the service provider optimizations.

Abstract: A technique for identifying an opt-out status for a user's mobile or other computing device without relying exclusively on client-side storage or primarily on the use of non-determinative mechanisms is discussed. Embodiments provide server-based or otherwise hosted techniques of accurately identifying devices of users that wish to opt-out of having their device activity tracked. These techniques enable accurate identification of a device's opt-out status even in the absence of a client-side opt-out indicator.

Abstract: A social networking system has one or more computer devices with a computer processor and computer memory, the computer memory storing executable code that, when executed by the computer processor, enables the computer system to perform the following method: receiving profile information for each of a plurality of users; storing the profile information in a database; tracking a location of each of the plurality of users; displaying on a map the location of a current user, and also displaying other users who are physically located proximate the current user; displaying an indication of the direction of vision of the current user responsive to the physical movements of the computer device of the user; in response to the current user directing his or her direction of vision at one of the other users, marking that user as a target user and displaying the profile of the target user; and sending a chat request from the current user to the target user.

Abstract: Embodiments provide systems and methods to load balance using tenant affinities. A method includes configuring a load balancer with a set of tenant affinities, the set of tenant affinities including a tenant affinity for each of a plurality of tenants with respect to each of a plurality of computing nodes that provide services to users in a multitenant environment. Load balancing may include receiving a user request, associated with a tenant, for a service provided by the computing nodes, determining a highest tenant affinity computing node for the tenant using the set of tenant affinities and directing the user request to the highest tenant affinity computing node for the tenant.

Abstract: The present disclosure relates to a system and method for exposing data from blockchain nodes and orchestrating requests to blockchain nodes. The system mainly includes a client application, a load balancer, and blockchain nodes connected to the blockchain network. The system receives a request from the client application. The load balancer is configured with an upstream selection logic and configured with custom metadata specific to blockchain nodes. Based upon the upstream selection logic, the load balancer generates a proxy request to the selected blockchain node. The load balancer of the system is a general-purpose load balancer having built-in plugins, such as an authentication service unit and a tracking unit. Based on the selection logic and the upstream metadata, the general-purpose load balancer is extended with custom plugins.

Abstract: A system includes a hardware processor that executes a software code to receive an authorization request on behalf of a user for a stacked resource including resources offered separately by multiple resource providers, determine resource provider computers associated with the stacked resource, and send a look-up request including an electronic identity of the user to those computers, where the electronic identity is used as a look-up key for determining user attribute(s) of the user. The software code further receives the user attribute(s) from the resource provider computers, generates an accumulated access profile of the user based on the user attribute(s), applies the profile to a rules engine to determine a stacked access result, and routes the authorization request and the stacked access result to one of the resource provider computers, where that computer completes an authorization process for access to the stacked resource based on the stacked access result.

Abstract: Provided is a collaborative application service process management system based on a multi-tenant mode in an embodiment of the present disclosure. The system includes an application module, an application service process phase module, an application service process phase state module, an application object module, a collaborative application object management module, an application permission module, an application service process re-combiner, a shared database, etc. According to the method, a service process satisfying multi-scenario requirements can be designed in combination with an actual application scenario, and multi-scenario services in one application can be collaboratively managed. Therefore, system switch between different scenarios by a tenant is reduced, an inter-tenant collaborative management capacity is improved, and a tenant-application multi-scenario management capacity is improved.

Abstract: One example method includes transmitting a message to a first client device indicating a transition to a first sub-meeting of a webinar, the first client device connected to a main meeting of the webinar and associated with a first participant, receiving, from the first client device, a request for access information to join the first sub-meeting; transmitting the access information for the first sub-meeting to the first client device, receiving, from the first client device, a request to join the first sub-meeting, the request based on the access information for the first sub-meeting, and joining the first client device to the first sub-meeting.

Abstract: Various embodiments disclose a method performed by a first node device in a mesh network that includes identifying a plurality of neighbor node devices that have one or more blocks of a dataset; determining quality scores for respective node devices of the plurality of neighbor node devices; selecting, based on the quality scores, a second node device from the plurality of neighbor node devices; and sending, to the second node device, a first request to receive at least one block of the one or more blocks.

Abstract: Aspects of the disclosure relate to generating a modified web farm framework for routing web traffic based on similarities between web traffic requests. A computing platform may receive a request to establish a server connection to host a virtual workspace. The computing platform may identify a pod and a server within the pod with network capacity to host the virtual workspace. The computing platform may assign the virtual workspace to the pod and the server, and may generate a cookie indicating connection details associated with the virtual workspace. The computing platform may receive a consumer request to connect to the virtual workspace and may transmit the cookie to the consumer. The computing platform may monitor and analyze the server connection, and may modify the server assignment associated with the virtual workspace based on determining the server connection was lost and/or terminated.

Abstract: The online co-location connection service is provided by a messaging system configured to selectively pair user profiles associated with respective client devices equipped with sensors that communicate with each other within the predetermined physical proximity range. The pairing is effectuated without requiring that the two client devices, at the time of pairing, are within a communication range permitted by their respective short range communication sensors and without requiring a communication between the first client device and the second client device via a short-range wireless communication technology. Subsequent to the pairing, the messaging system monitors physical proximity of the client devices based on the sensor data obtained by the co-location connection service from the respective messaging clients executing at the respective client devices.

Abstract: Generally, aspects of the invention involve creating a data structure (a map) that reflects routing of Internet traffic to Anycast prefixes. Assume, for example, that each Anycast prefix is associated with two or more deployments (Points of Presence or PoPs) that can provide a service such as DNS, content delivery (e.g., via proxy servers, as in a CDN), distributed network storage, compute, or otherwise. The map is built in such a way as to identify portions of the Internet (e.g., in IP address space) that are consistently routed with one another, i.e., always to the same PoP as one another, regardless of how the Anycast prefixes are deployed. Aspects of the invention also involve the use of this map, once created. The map can be applied in a variety of ways to assist and/or improve the operation of Anycast deployments and thus represents an improvement to computer networking technology.

Abstract: A method includes receiving, from a first device, a first request indicating a client characteristic, generating a second request for content that simulates a data request originating at a client device with the client characteristic, identifying data of a response to the generated second request, and providing, to the first device, a report based on the identified data.

Abstract: A computer-implemented method, system and computer program product for maximizing system scalability while guaranteeing enforcement of service level objectives. A request is received to access a backend database in a hierarchy of backend databases that includes heterogenous computing resources with a dynamic range of performance. Upon receiving the request, a reinforcement learning based filter determines if the request's frequency of access exceeds a cutoff frequency. If the received request is not filtered, but instead, is passed through the filter, then one of the backend databases in the hierarchy is selected. Such a selection is made by a load balancer that is trained using reinforcement learning to select the optimal backend database taking into consideration the storage size and speed of the backend databases as well as taking into consideration the user-specified service level objective to be met by the request to guarantee enforcement of such a service level objective.

Abstract: Networking systems and methods for establishing and maintaining virtual computing clouds are disclosed. A networking system can comprise a server and various instances of a software agent, each agent being installed on a computing device participating in a virtual computing cloud. The server can maintain account setting for a user, wherein the settings can indicate which files on indicated computing devices are included in the virtual computing cloud. The networking system can selectively synchronize data between the computing devices automatically and in a secure manner, and can transmit data in real time to simulate local storage when synchronization of certain files is inappropriate in light of file incompatibility. As a result, the networking system can provide the user with a seamless, automatic system and method for accessing a total computing environment.

Abstract: Described are examples for deploying workloads in a cloud-computing environment. In an aspect, based on a desired number of workloads of a process to be executed in a cloud-computing environment and based on one or more failure probabilities, an actual number of workloads of the process to execute in the cloud-computing environment to provide a level of service can be determined and deployed. In another aspect, a standby workload can be executed as a second instance of the process without at least a portion of the separate configuration used by the multiple workloads, and based on detecting termination of one of multiple workloads, the standby workload can be configured to execute based on the separate configuration of the separate instance of the process corresponding to the one of the multiple workloads.

Abstract: Disclosed herein is a method for transmitting point cloud data, including encoding the point cloud data and transmitting a bitstream including the point cloud data. Disclosed herein is a method for receiving point cloud data, including receiving a bitstream including point cloud data and decoding the point cloud data.

Abstract: Systems and associated methods are described for determining popularity of new content. The system analyzes a content item to identify at least a first and a second attribute associated with the content item. The system also identifies previously posted content items associated with the first and the second attributes. The system then determines levels of user activity associated with the previously posted content item corresponding to the first attribute over a first past time period and associated with the previously posted content item corresponding to the second attribute over a second past time period. The system then extrapolates a levels of user activity for a future time period based on the first past time period and on the second past time period. The system further determines an anticipated level of user activity associated with the content item for the future time period based on the extrapolated levels of user activity.