Abstract: Hierarchical Power Management (HPM) architecture considers the limits of scaling on a power management controller, the autonomy at each die, and provides a unified view of the package to a platform. At a simplest level, HPM architecture has a supervisor and one or more supervisee power management units (PMUs) that communicate via at least two different communication fabrics. Each PMU can behave as a supervisor for a number of supervisee PMUs in a particular domain. HPM addresses these needs for products that comprise a collection of dice with varying levels of power and thermal management capabilities and needs. HPM serves as a unified mechanism than can span collection of dice of varying capability and function, which together form a traditional system-on-chip (SoC). HPM provides a basis for managing power and thermals across a diverse set of dice.

Abstract: Systems and methods may generally be used for processing transactions. An example method may include receiving a request from a wallet application to perform a transaction to transfer funds from a payor account over a first payment rail. The first payment rail may be associate with a payment network corresponding with an element of the wallet application. The example method may include determining whether a second payment rail is available for processing the request based upon a determination that the second payment rail meets a requirement of the transaction. The example method may further include, upon determining that the second payment rail is available, converting the request to a request for processing using a second payment rail different from the first payment rail, and processing the request using the second payment rail.

Abstract: Methods, systems, and apparatuses are described herein for using machine learning to generate and use synthetic profiles. A computing device may train a machine learning model to generate synthetic user profiles. The computing device may then use the trained machine learning model to generate a plurality of synthetic user profiles based on real user profile information, provide those synthetic user profiles to a quote provider via an API, then average the quotes received from that provider to determine an expected quote for the real user. The computing device may also collect a plurality of quotes from a quote provider based on synthetic user profiles, then train a second machine learning model to estimate quotes by that provider. That trained second machine learning model may be used to estimate quotes for users, and may be re-trained based on real quotes provided by the quote provider at a later time.

Abstract: A computer-implemented method includes: receiving, by a computing system, from a first device, a request to perform an activity associated with an account of a plurality of accounts of a provider institution; determining, by the computing system, based on the activity, a notification policy based on a notification setting of the account associated with a user; transmitting, by the computing system, a request for information regarding the activity to the first device; receiving, by the computing system, information regarding the activity from the first device; generating, by the computing system, a data payload comprising the received information regarding the activity and initial information associated with the request to perform the activity; retrieving, by the computing system, an address associated with the account; and providing, by the computing system, a notification comprising information from the data payload to a second device associated with the user based on the retrieved address.

Abstract: The present invention provides a method, system and program product for deploying, allocating and providing backup for an autonomic sensor network ecosystem. Under the present invention, the autonomic sensor network ecosystem includes: (1) a set (e.g., one or more) of sensor networks for storing data components; (2) a set of sensor collector information gateways in communication with the sensor networks; and (3) a set of enterprise gateways and storage hubs (hereinafter enterprise gateways). Each sensor network includes a set of sensor peers and at least one super peer. The super peer manages the sensor network and communicates with the set of sensor collector information gateways. The autonomic sensor network ecosystem of the present invention is deployed and allocated in such a manner that backup and resiliency is provided.

Abstract: The present invention provides a method, system and program product for deploying, allocating and providing backup for an autonomic sensor network ecosystem. Under the present invention, the autonomic sensor network ecosystem includes: (1) a set (e.g., one or more) of sensor networks for storing data components; (2) a set of sensor collector information gateways in communication with the sensor networks; and (3) a set of enterprise gateways and storage hubs (hereinafter enterprise gateways). Each sensor network includes a set of sensor peers and at least one super peer. The super peer manages the sensor network and communicates with the set of sensor collector information gateways. The autonomic sensor network ecosystem of the present invention is deployed and allocated in such a manner that backup and resiliency is provided.

Abstract: Under the present invention, a wireless sensor network comprising a plurality of peer to peer nodes is provided. Each node in the network includes, among other things, a sensor for detecting environmental factors. When a potential failure is detected within a node, the node will query its neighboring nodes to determine whether they have the capability to store any data component(s) currently stored within the potentially failing node. Based on the querying, the data component(s) in the potentially failing node are copied to one or more of the neighboring nodes. Thereafter, details of the copying can be broadcast to other nodes in the network, and any routing tables that identify the locations of data components stored throughout the wireless sensor network can be updated.

Abstract: The present invention provides a method, system and program product for deploying, allocating and providing backup for an autonomic sensor network ecosystem. Under the present invention, the autonomic sensor network ecosystem includes: (1) a set (e.g., one or more) of sensor networks for storing data components; (2) a set of sensor collector information gateways in communication with the sensor networks; and (3) a set of enterprise gateways and storage hubs (hereinafter enterprise gateways). Each sensor network includes a set of sensor peers and at least one super peer. The super peer manages the sensor network and communicates with the set of sensor collector information gateways. The autonomic sensor network ecosystem of the present invention is deployed and allocated in such a manner that backup and resiliency is provided.

Abstract: The present invention provides a computer-implemented method, system, and program product for tracking a location of a user of a wireless device in a private network environment. Specifically, under the present invention, a wireless device user will form a data connection with a private network through a public network such as the Internet. At such a time “location” information will be communicated from the wireless device to the provider of the private network, which will use the information to track the location of the wireless device user. In addition, the provider of the private network can query the wireless device when updates to the information are desired. At this or any other time, the wireless device can be queried for any such updates.

Abstract: Under the present invention, when a wireless device user is authenticated by a provider of wireless connectivity, certain information is communicated from the wireless device to a server maintained in the location of the user. Such information includes, among other things, information identifying the location of the wireless device. This information is typically maintained in a table or the like. After a data connection has been established with a public network, the information will be communicated to the provider of the public network and will be used thereby to track the location of the wireless device and/or user. In addition, the provider of the public network can query the server when updates to the information are desired. At this or any other time, the wireless device can be queried for any such updates.

Abstract: The present invention provides a method, system and program product for deploying and allocating resources, and addressing threats in an autonomic sensor network ecosystem. Specifically, under the present invention, the autonomic sensor network ecosystem includes a set (e.g., one or more) of sensor networks each having a set of sensor peers and at least one super peer; a set of micro grid gateways; and a set of enterprise gateways. Each micro grid gateway is typically adapted to receive requests from a sensor network, an enterprise gateway, and/or another micro grid gateway. Moreover, each micro grid gateway includes a request broker for receiving the requests; a request queue manager for queuing the requests; a scheduler for scheduling the requests; and a resource manager for monitoring the set of sensor networks.

Abstract: A system and method for implementing a wireless sensor network. The system comprises a plurality of motes, each mote having a sensor and a wireless communication system for communicating with neighboring motes; a distributed routing table distributed amongst each of the plurality of motes; and an update system for periodically updating the distributed routing table.