H04L12/26

DEVICE JOINING GROUP IN A VEHICLE

Examples of the present disclosure relate to a device joining system for a vehicle. For example, the system can include a requesting device including a sensor to detect requesting device environmental information and a grouping controller to send the requesting device environmental information to a vehicle server. In an example, the system can include a vehicle server that includes a grouping evaluator to send to the requesting device a join decision. The join decision can be based on a probability calculated from the requesting device environmental information and device environmental information which is detected by a device in the group.

Intelligent Cascading Linkage Machine for Fuzzy Matching in Complex Computing Networks

This disclosure is directed to an intelligent cascading linkage machine for transforming input signals into comparable signals, and cascading through matching operations, including but not limited to a fuzzy matching comparison technique, to link transformed input signals (comparable signals) to those stored signals in a database which match it. The fuzzy matching technique may use a random forest processing technique and/or a logistic regression technique. Also, the machine is able to calibrate its matching technique, based on the linking of a comparable or input signal to a stored signal in a database, in order to calculate an accuracy indicator.

EVALUATING AND COMPARING PREDICTED CUSTOMER PURCHASE BEHAVIOR FOR EDUCATIONAL TECHNOLOGY PRODUCTS

The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of overall scores representing predicted purchase behaviors of a set of customers with an educational technology product. Next, the system displays a graphical user interface (GUI) comprising a customer prioritization chart for the educational technology product. The system then displays representations of the overall scores in the customer prioritization chart. Finally, the system displays, in the GUI, the set of overall scores and a breakdown of the overall scores into a set of sub-scores that characterize different components of the overall scores.

TOPOLOGY GRAPH OF A NETWORK INFRASTRUCTURE AND SELECTED SERVICES STATUS ON SELECTED HUBS AND NODES

A computer-implemented method for identifying a source of a failure in a network is provided. The method includes receiving hardware infrastructure information of the network, wherein the network includes a plurality of hardware infrastructure units, and receiving software services information of the network. The method also includes associating the hardware infrastructure information with the software services information, and generating a graph based on the association of the hardware infrastructure information and the software services information.

CONTROL APPARATUS, TESTING METHOD, COMMUNICATION SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
20170373949 · 2017-12-28 · ·

A control apparatus executes configuration processing that includes applying filters for blocking input and output of a test packet to ports associated with the packet forwarding devices, except for one or more ports on an assumed forwarding route in a section targeted for a forwarding status determination and configuring the packet forwarding device located at an end port of the section so that the test packet that arrives at the end port is forwarded to the control apparatus, executes communication processing that includes transmitting the test packet from the communication circuit to a start port of the section, and executes determination processing that includes determining that packet forwarding is performed normally in the section, upon receipt of the test packet via the communication circuit after the transmission of the test packet.

TRANSMITTING AND RECEIVING RADIO SIGNALS WITH TUNABLE ANTENNAS TUNED BASED ON THROUGHPUT PERFORMANCE
20170373398 · 2017-12-28 ·

An apparatus of a user equipment (UE) to perform tuning of a tunable antenna may comprise baseband circuitry and radio frequency (RF) circuitry. The baseband circuitry may determine an indication of throughput performance of a tunable antenna for the UE while the tunable antenna is in a first state. The RF circuitry may select a second state for the tunable antenna based on the indication of throughput performance for the tunable antenna. The second state may be selected to improve throughput performance of a data stream for the UE. The RF circuitry may also generate a control signal to transition the tunable antenna to the second state.

ACHIEVING BALANCED EXECUTION THROUGH RUNTIME DETECTION OF PERFORMANCE VARIATION
20170373955 · 2017-12-28 ·

Systems, apparatuses, and methods for achieving balanced execution in a multi-node cluster through runtime detection of performance variation are described. During a training phase, performance counters and an amount of time spent waiting for synchronization is monitored for a plurality of tasks for each node of the multi-node cluster. These values are utilized to generate a model which correlates the values of the performance counters to the amount of time spent waiting for synchronization. Once the model is built, the values of the performance counters are monitored for a period of time at the start of each task, and these values are input into the model. The model generates a prediction of whether a given node is on the critical path. If the given node is predicted to be on the critical path, the power allocation of the given node is increased.

METHOD AND APPARATUS TO PROVIDE DIRECT ACCESS TO ONE OR MORE SENSORS FROM AN INTERNET PROTOCOL NETWORK
20170373952 · 2017-12-28 ·

A method and apparatus for providing direct access to one or more sensors from an internet protocol network. One example method includes detecting, by the remote terminal unit, a first sensor coupled to a first communications port. The method also includes generating a first unique internet protocol address for the first sensor, and mapping the first unique internet protocol address, at an application layer of a network protocol stack, to the first sensor. The method includes broadcasting, over the internet protocol network at a network layer, the first unique internet protocol address and an identity of the first sensor with which the first unique internet protocol address is associated. The method includes monitoring, at the network layer of the internet protocol network, for a sensor message identifying the first unique internet protocol address as a destination address, and forwarding the sensor message to the application layer for further processing.

ORCHESTRATING OPERATIONS AT APPLICATIONS
20170373958 · 2017-12-28 ·

Aspects extend to methods, systems, and computer program products for orchestrating operations at applications. Aspects of the invention use a side channel (instrumentation messages generated by a service) as a mechanism to discover when a service has completed an activity. Use of a side channel, allows a (e.g., client) application to create behaviors similar to service side interfaces and/or protocols without modifying a service. Accordingly, functionality can be added incrementally, safely, and cheaply without having to revise an underlying implementation. In one aspect, an instrumentation collector and publisher (ICP) facilitates the synchronization between services and an application. ICP is a scalable infrastructure that provides applications a way to interact with servers through instrumentation.

MONITORING PERFORMANCE OF A COMPUTER SYSTEM
20170373960 · 2017-12-28 ·

Techniques for monitoring performance of a computer system are provided. Bucket data is stored that indicates that multiple buckets are associated with a particular type of request. Then, multiple requests are received, where a first request and a second request indicate the same type of request. Based on the bucket data, the first request is assigned to a first bucket and the second request is assigned to a second bucket. The assignment may be further based on a complexity determined for each request. First performance data is generated while processing the first request and is aggregated with second performance data that was generated while processing one or more third requests that are assigned to the first bucket. Third performance data is generated while processing the second request and aggregated with fourth performance data that was generated while processing one or more fourth requests that are assigned to the second bucket.