Abstract: A multi-radio system comprises a first radio and a second radio co-located on the multi-radio system. The first radio is arranged to generate an RF transmit signal which is output by a first antenna of the first radio. In an example, the first radio comprises a radio frequency (RF) canceller arranged to output a RF cancellation signal which couples with the RF transmit signal received at a second antenna of the second radio. The RF cancellation signal that is output results in the cancellation of the RF transmit signal at the second antenna of the second radio.

Abstract: Embodiments are presented herein of apparatuses, systems, and methods for mitigation of secondary cell failures. A user equipment (UE) may establish communication with a macro cellular base station. The UE may perform a signal quality measurement of a small cell base station and compare the signal quality measurement to a threshold. Based on the signal quality measurement exceeding the threshold, the UE may attempt to additionally connect to the small cell base station. In response to a radio link failure of the second base station, the UE may modify the first threshold. In response to subsequent failures to additionally connect to the small cell base station using the modified first threshold, the UE may disable connections to the small cell base station.

Abstract: The present application relates to devices and components including apparatus, systems, and methods for user equipments and network components performing or assisting in packet filtering operations.

Abstract: Systems, methods, and devices are provided for performing cell selection or reselection in networks that include earth moving beams. In one example, a method includes receiving, via a satellite, control information transmitted by a base station indicating that a beam associated with a cell ID has been redirected; in response, measuring a beam strength of the redirected beam; and performing cell re-selection based on the measured beam strength.

Abstract: Network traffic flows can be processed by routers, switches, or service nodes. Service nodes may be ASICs that can provide the functionality of a switch or a router. Service nodes can be configured in a circular replication chain, thereby providing benefits such as high reliability. The service nodes can implement methods that include receiving a first packet that includes a source address in a source address field and that includes a destination address in a destination address field, routing the first packet to a selected service node that is in a circular replication chain that includes a plurality of service nodes that have local flow tables and are configured for chain replication of the local flow tables, producing a second packet by using a matching flow table entry of the first packet to process the first packet, and sending the second packet toward a destination indicated by the destination address.

Abstract: A storage space management system for a thin provisioned virtual environment may comprise an over-allocation computation engine to compute an over-allocation metric for a virtual datastore. The over-allocation metric may be computed based on virtual storage space allocated to corresponding virtual machines and actual physical storage allocated to the virtual datastore. Further, the over-allocation metric may indicate extent of over-allocation of the actual physical storage to the virtual datastore. An available space computation engine may determine an available space metric for the virtual machines based on available datastore space and available physical storage space. An analysis engine may obtain a time value indicating time left within which storage space available for the virtual machines would be utilized.

Abstract: A storage space management system for a thin provisioned virtual environment may comprise an over-allocation computation engine to compute an over-allocation metric for a virtual datastore. The over-allocation metric may be computed based on virtual storage space allocated to corresponding virtual machines and actual physical storage allocated to the virtual datastore. Further, the over-allocation metric may indicate extent of over-allocation of the actual physical storage to the virtual datastore. An available space computation engine may determine an available space metric for the virtual machines based on available datastore space and available physical storage space. An analysis engine may obtain a time value indicating time left within which storage space available for the virtual machines would be utilized.

Abstract: In one example, at least one storage usage category for a storage volume identified for metering is determined. The at least one storage usage category may indicate how the storage volume operates to store data over a networked computing environment. Once the at least one storage usage category is determined, a usage value for the storage volume of the at least one storage usage category is obtained, wherein the usage value provides a measure of usage of the storage volume.

Abstract: In an example implementation, a network topology map with storage paths between servers and storage volumes of storage arrays in a storage network through network switches may be generated. A network switch may be identified from the network switches in the network topology map as a bottleneck by monitoring a performance parameter for each of the network switches. The performance parameter is indicative of I/O load at a port of a respective network switch. Storage volumes in the network topology map and connected to the bottlenecked network switch may be identified, and storage volume I/O metrics associated with each of the servers with respect to the identified storage volumes may be aggregated. Based on the aggregated storage volume I/O metrics, at least one of the servers may be determined as a candidate for a root-cause of the bottleneck.

Abstract: A system is provided that includes a plurality of storage network devices and a storage manager communicatively coupled to the plurality of storage network devices. The storage manager includes a discovery engine configured to collect configuration information from the plurality of storage network devices. The system also includes an object model that represents the storage network system and is updated based on the configuration information collected by the discovery engine. The system also includes a mapping file that guides the discovery engine during an update of the object model. The discovery engine is triggered to perform a limited update of the object model upon the completion of a storage management operation.

Abstract: The invention concerns a method (300) for directing users to coverage. The method includes the steps of detecting (314) when a signal strength parameter of a mobile unit (112) falls below a predetermined threshold, acquiring (316) positional information about the mobile unit and directing (322) a user of the mobile unit to a reestablishing coverage area (110) that has a signal strength that would cause the signal strength parameter to meet the predetermined threshold. In addition, the method can include the step of calculating (320) positional parameters between the mobile unit and the reestablishing coverage area in which the reestablishing coverage area is a coverage area (110) that is physically closest to the mobile unit in comparison to other coverage areas.