Abstract: An apparatus includes a display, a wireless communication device, an input device, and a processor. The processor to provide a first connection plan and a second connection plan via the display to a user. The first connection plan identifies a first set of rules of wireless access point selection and the second connection plan identifies a second set of rules for wireless access point selection. The processor also to receive a selection corresponding one of the first connection plan and the second connection plan from the user via the input device and to select one of a first wireless access point and a second wireless access point based on first network performance data of the first wireless access point, second network performance data of the second wireless access point, and the selection. The processor further to establish a network connection with the selected wireless access point via the wireless communication device.

Abstract: An example system can include a communication device to communicate with a network. The system can include a long-term evolution (LTE) interface to communicatively couple the communication device to the network. The system can include a wireless local area network (WLAN) interface to communicatively couple the communication device to the network. A session associated with each of the LTE interface and the WLAN interface can be maintained together and an identical IP address can be associated with the LTE interface and the WLAN interface.

Abstract: Certain implementations of the present disclosure relates to a network device that receives an Internet Protocol (IP) flow and determines a protocol type of wireless communication networks associated with a particular network on which the IP flow is transmitted to the network device. Then, the network device generates, using a reflection mode, a set of rules corresponding to the IP flow based on the protocol type of wireless communication networks. Next, the network device transmits the IP flow and the set of rules to another network node.

Abstract: A SCI (Split, Compression and Intersection) packet classifier, wherein the SCI packet classifier comprises a construction module to generate rule ID array, h pairs of ISG and three binary search trees, and a lookup engine to look up the binary search trees and ISGs to find the highest priority rule matching the incoming packet and to output a corresponding rule ID.

Abstract: Examples relate to predicting wireless access point availability. In one example, a computing device may: generate, for a wireless access point, a mapping for predicting availability of the wireless access point, the mapping specifying: one or more in-range cellular towers to which at least one client device has been connected while the at least one client device was also connected to the wireless access point; one or more border cellular towers to which at least one client device has been connected to i) subsequent to being connected to one of the one or more in-range cellular towers, and ii) while not connected to the wireless access point; and one or more out-of-range cellular towers to which at least one client device has been connected to i) subsequent to being connected to one of the one or more border cellular lowers, and ii) while not connected to the wireless access point.

Abstract: A system maintains, generates, and manages infrastructure layouts. The infrastructure layouts include structural relationships for the handling of received sensor data. The infrastructure layouts may be traversed to determine datastore options for the sensor data and contextual information that may be used to enrich the received sensor data.

Abstract: In one implementation, instructions stored on a non-transitory computer-readable medium are executable by a processing resource to cause a computing device to fetch a token code from a home subscriber server (HSS) for a user and log in to a Virtual Private Network (VPN) server using the token code.

Abstract: Examples relate to predicting available access points. In one example, a computing device may: obtain a set of training fingerprints, each training fingerprint specifying, for a client device, i) a set of access points, and ii) cellular signal strength measurements for each cellular tower in a set of cellular towers; generate a plurality of classes based on the set of training fingerprints, each class specifying at least one access point, the access points of each class corresponding to the set of access points specified by at least one training fingerprint, and each combination being different from combinations specified by each other class in the plurality of classes; and train a predictive model to receive, as input, an input fingerprint specifying a cellular signal strength measurement for each cellular tower in a set of input cellular towers and produce, as output, at least one of the plurality of classes.

Abstract: In an example, a set of training fingerprints may be access, in which each of the training fingerprints may specify an access point of a plurality of access points to which a mobile device made a successful connection and a cellular signal strength of a cellular tower near the client device when the successful connection was made. An interim model may be generated from the accessed set of training fingerprints, in which the interim model may contain a subset of the information in the set of training fingerprints to enable a destination device to generate a prediction model to predict an availability of an access point. The generated interim model may be transferred to the destination device.

Abstract: Systems, methods, and machine-readable and executable instructions are provided for preventing a memory attack to a wireless access point (AP). Preventing a memory attack to a wireless access point can include receiving, with a wireless AP, a generic advertisement service (GAS) initial request from a querying station and transmitting, with the wireless AP, a GAS initial response to the querying station without querying an advertisement server based on the GAS initial request.

Abstract: Load balancing among wireless access points (APs) can include a plurality of wireless APs, and a transition-in transition-out (TITO) engine instructing a client to dissociate from a first wireless AP selected from the plurality of wireless APs and associate with a second wireless AP selected from the plurality of wireless APs.

Abstract: A system maintains, generates, and manages infrastructure layouts. The infrastructure layouts interconnect infrastructure components and capture relational aspects between the components within the interconnections. The infrastructure layouts map northbound services, which are service outputs, to southbound services, which are service capabilities, for fulfillment. The system may traverse a mapping from a northbound service to a fulfilling southbound service to generate a workflow to support deployment of the northbound service. In various implementations, the system may compare a path, which maps a northbound service to a southbound service, to a policy model to determine compliance with the policy.

Abstract: In one example in accordance with the present disclosure, a method for user interest and relationship determination may include distributing a first and a second set of pairs to a plurality of data nodes. The method may also include calculating, on a first data node, a probability of a user's interest in a product based on an observable factor and a latent factor and calculating, on second data node, a probability of a likelihood of a relationship between the user and a second user, based on an observable factor and a latent factor. The method may also include determining a most likely interest and a most likely relationship of the user and predicting a potential interest of the user based on the most likely interest and the most likely relationship.

Abstract: Examples relate to predicting wireless access point availability. In one example, a computing device may: generate, for a wireless access point, a mapping for predicting availability of the wireless access point, the mapping specifying: one or more in-range cellular towers to which at least one client device has been connected while the at least one client device was also connected to the wireless access point; one or more border cellular towers to which at least one client device has been connected to i) subsequent to being connected to one of the one or more in-range cellular towers, and it) while not connected to the wireless access point; and one or more out-of-range cellular towers to which at least one client device has been connected to i) subsequent to being connected to one of the one or more border cellular lowers, and ii) while not connected to the wireless access point.

Abstract: A device of performing social prediction in a social network may include a processor and a memory. In an example, instructions stored in the memory and executable by the processor may classify connections of user pairs within the social network into weak ties and strong ties according to tie strength of the connections. During the generation of a social network model, a first model may be set for the weak ties, and a second model may be set for the strong ties. The social network model may be trained to obtain model parameters, and social data of a user may be predicted by using the model parameters and the social network model.

Abstract: The differentiated service-based graceful degradation layer (DSGDL) allows cloud-based architectures to operate through and recover from periods of limited capability. The DSGDL protects and continues serving higher priority requests with the best possible response even as the underlying cloud-based services deteriorate. The DSGDL offloads lower priority requests to lower-grade secondary capability that can be dynamically provisioned in order to reserve the best capability for maintaining high priority service (e.g., by re-directing lower priority requests to a slightly out-of-date cached dataset, and reserve the primary consistent database for higher priority requests). The DSGDL 1) implements an overlay network over existing cloud services to route and enforce priority requests, and 2) provisions on-demand computing nodes and sites to provide secondary capability for service requests as needed.

Abstract: A method and apparatus for calibrating a temperature sensor is disclosed. In one embodiment, a method comprises generating first and second digital values based respectively on first and second voltages applied to a portion of a temperature sensor circuit. An arithmetic circuit may derive the value of the second voltage based on the first and second digital values. The method further comprises determining an initial value of a constant based on values of the first and second voltages, and determining a final value of the constant based on the initial voltage and at least one voltage offset. The constant may then be used in determining temperature readings for the temperature sensor.

Abstract: A system maintains, generates, and manages infrastructure layouts. The infrastructure layouts include structural relationships for the handling of received sensor data. The infrastructure layouts may be traversed to determine datastore options for the sensor data and contextual information that may be used to enrich the received sensor data.

Abstract: A wireless access point can identify a group of service providers that can provide access for respective subscriber devices. The wireless access point can periodically monitor its network traffic load. In response to determining that the amount of the network traffic load is above a threshold amount, the wireless access point selects one or more service providers from the group, and impedes use of each of the selected one or more service providers from the wireless access point by one or more additional subscriber devices that have not yet connected to the wireless access point.

Abstract: In an example, a set of training fingerprints may be accessed, in which each of the training fingerprints specifies an access point of a plurality of access points to which a mobile device made a successful connection, a relative signal strength of the connection to the access point, and a cellular signal strength of a cellular tower near the mobile device when the successful connection to the access point was made. Level counts of the relative signal strengths of the connections to the access points corresponding to the cellular signal strengths of the cellular tower may be cumulated from the set of training fingerprints. The cumulated level counts of the relative signal strengths of the access points may be ranked.