Telefonaktiebolaget Lm Ericsson (Publ)

Other

Nokia Technologies Oy

Du Li

Guang Yu Yang

Yifei Jiang

Jian Chen

Zhigang Liu

Ying Zhang

Johan Kristiansson

Andreas Ekeroth

Exemplary methods for performing distributed data aggregation include receiving Internet Protocol (IP) traffic from only a first portion of the network. The methods further include utilizing a big data tool to generate a summary of the IP traffic from the first portion of the network, wherein a summary of IP traffic from a second portion of the network is generated by a second network device utilizing its local big data tool. The methods include sending the summary of the IP traffic of the first portion of the network to the third network device, causing the third network device to utilize its local big data tool to generate a summary of the IP traffic of the first and second portion of the network based on the summaries received from the first and second network devices, thereby allowing the IP traffic in the network to be characterized in a distributed manner.

Method for scalable distributed network traffic analytics in telco

A method to synergistically sense occupancy inside a building. A coarse-grained sensor in the building generates a coarse data indicating a user is in a large area including a control zone. A fine-grained sensor in the building generates a fine data indicating the user is in a small area. The fine data is more accurate but less reliable than the coarse data. The method to improve energy efficiency by generating an actuation plan for the control zone. The method includes receiving the coarse data and the fine data, normalizing the coarse data and the fine data, checking for an overlap between the large area and the small area, calculating a change in occupancy in the control zone based on the normalized coarse data if there is no overlap and based on the normalized fine data if there is overlap, and generating the actuation plan based on the change in occupancy.

Method for synergistic occupancy sensing in commercial real estates

Methods and apparatus for determining recommended geographic server locations for online social networks by attempting to minimize user-server latency and inter-user communications latency. In an embodiment, geographic and relationship information for a plurality of users is acquired. The plurality of users may belong to one or more networks. The acquired information is transformed into a graph. A first plurality of clusters is generated with a first clustering algorithm. A second plurality of clusters is generated by iteratively examining pairs of the first plurality clusters, and swapping nodes between the examined clusters if it will reduce a total cut weight of the graph and locate each pair of nodes within a defined maximum distance from the centroid of the target cluster. In an embodiment, a method uses a joint analysis approach based upon characteristics of a plurality of existing networks.

Multi-objective server placement determination

A system for detecting state transitions when apparatuses move between significant places or routes without having to employ high resolution, and high energy cost, localization technologies. Apparatuses may receive position information via lower resolution/lower energy cost localization resources, and this information may be used to determine whether the current position of the apparatus corresponds to a significant place or route. If the apparatus is determined to be positioned in a significant place or route, a further determination may be made as to whether at least one second level classifier exists for the significant place or route. Second level classifiers may be utilized to determine when apparatuses transition from one state (e.g., one significant place or route) to another. Upon detection of a state transition based on the second level classifier, a new localization configuration may be applied in the apparatus.

State change sensing based on individual location patterns

A system that uses historical position information accumulated in an apparatus to determine whether locations and/or routes may be classified as significant. A classification of a location or route as significant may be utilized in configuring localization in the apparatus. Localization configuration may include, for example, setting a type technology utilized in determining apparatus position.

Localization based on individual location patterns

A method for locating a mobile device inside a building by using a plurality of reference areas in the building as satellites. A scan is obtained by the mobile device at an unknown location in the building. The scan includes a plurality of detected WAPs with a corresponding RSSI for each detected WAP. The method to improve accuracy of a semantic indoor positioning system by generating a vector of distance scores based on the scan for comparison with vectors of survey distance scores corresponding to the reference areas. The method includes arranging the detected WAPs into an ordered list, extracting a set of WAP tuples from the ordered list, retrieving a set of probabilities for each reference area, calculating a distance score for each reference area, generating the vector of distance scores, and comparing the vector of distance scores with each of the vectors of survey distance scores.

Method and system of semnatic indoor positioning using significant places as satellites

A first control node and a method therein for selecting the first control node or a second control node to act as a server are provided. The first and second control nodes are comprised in an overlay network. The first control node obtains a first indication relating to a ranking of a suitability of the first control node to act as the server. Furthermore, the first control node receives a second indication from the second control node. The second indication relates to a ranking of a suitability of the second control node to act as the server. Then, the first control node selects, based on the first and second indications, one of the first and second control nodes to act as the server for managing a master representation of a distributed shared memory being accessible within the overlay network.

Growing community of inventors

Palo Alto, CA, United States of America

Du Li