Telefonaktiebolaget Lm Ericsson (publ)

Andreas Johnsson

Ayodele Damola

Johan Kölhi

Christofer Flinta

Catalin Meirosu

Svante Ekelin

Jawwad Ahmed

Farnaz Moradi

Tony Larsson

Bob Melander

Rickard Cöster

Jan-Erik Mångs

Steve Baillargeon

Nicolas Seyvet

Hareesh Puthalath

Stefan Hellkvist

Ignacio Manuel Mulas Viela

Mats Klingberg

Ola Angelsmark

Arne Norefors

Djamel Sadok

Filip Oredsson

Johan Christer Wilhelm Granath

Johan Granath

Karl-Åke Persson

Rolf Stadler

Ramide A S Dantas

Tim Josefsson

Rafael Pasquini

Christian Rohner

Chistofer Flinta

Erik Bergfeldt

Rakesh Ranjan

Johan Åman

Ramide AS Dantas

A method performed by a vehicle manager () for managing a remote-controlled vehicle (). The vehicle manager () obtains an original route to the destination passing a sequence of radio access points in a wireless network that a wireless device in the vehicle () will connect to in a communication with the vehicle manager () when the vehicle () travels along the original route. The vehicle manager () detects at least one deficient radio access point of the original route. The vehicle manager () then instructs the vehicle () to adapt its behaviour based on said detecting.

Method and vehicle manager for managing remote-controlled vehicle

In a communication system, a first network node is configured to execute at least one service application executing a first service and at least one analytics application executing at least part of a distributed analytics service. The first network node obtains information about a new telecommunication service and transmits, to a second network node in the communication system, a request for a policy for the new telecommunication service. The first network node receives, from the second network node, the policy for the new telecommunication service and updates a currently applied policy on the basis of the received policy. The updated policy rebalances resources allocated from a shared computing resource pool of the first network node between the new telecommunication service and the at least one analytics application such that the new telecommunication service maintains adherence to the one or more requirements of a service level agreement.

Policies for analytics frameworks in telecommunication clouds

A master node, a local node, a service assurance system, and a respective method performed thereby for predicting one or more metrics associated with a communication network are provided. The method performed by the master node operable in the communication network comprises receiving prediction(s) based on training data from local nodes in the communication network; and determining weight parameter(s) associated with the local nodes based on the current received prediction(s) and past received predictions. The method further comprises adjusting a respective local reporting policy for one or more local nodes based on the determined weight parameter(s).

Master node, a local node and respective methods performed thereby for predicting one or more metrics associated with a communication network

A method and a network agent for providing cell assignment for a wireless device served by a network node. An input vector is created for a set of candidate cells based on measurements by the wireless device and/or by the network node related to performance and signals. A future effect of assigning the wireless device to a candidate cell is estimated for each candidate cell by applying the created input vector to an effect estimation function which may be a Q-learning function. A cell in the set of candidate cells is then determined and assigned for the wireless device, based on the estimated future effects of the candidate cells. The cell that provides the best future effect may be selected for cell assignment.

Method and network agent for cell assignment

It is disclosed a network node () and a method for executing an analytics task. The network node is adapted to reside in a telecommunication network, and to be supported by a distributed cloud infrastructure. The network node is adapted to execute at least one service application () executing a first service and at least one analytics application () executing at least part of a distributed analytics service, where the network node further is adapted to comprise a node policy agent () and a node manager (). By applying a policy restrictions on the analytics task executed on the same network node as a service application, service level agreements for the service application in a telecommunication cloud can be upheld.

A method for predicting a location of a fault in a system is described. The method includes obtaining a faulty unit pertaining to a Supervised Self-Organizing Map (SSOM), wherein the faulty unit has been derived from a sample of machine-level metrics for the system and the SSOM has been trained with a first layer of machine-level metrics and a second layer of service-level metrics. The method further includes expanding a circle originating at the faulty unit until a number of normal units of the SSOM falls within the circle, computing, for each machine-level metric, a score based on differences between the faulty and normal units, wherein a set of scores comprises the respective score for each machine-level metric, and selecting a sub-set of the set, wherein the sub-set comprises the greatest scores of the set, whereby the fault is predicted as located according to metrics represented by the sub-set.

Method and system for fault localization in a cloud environment

A monitoring controller and a method for monitoring network performance are provided. The comprises determining, by a monitoring controller of a first host, a change in a communication between a first and a second application instance by observing application traffic exchanged between the first and second application instance, the first application instance being executed on the first host and the second application instance being executed on a second host. The method further comprises initiating, by the monitoring controller, a monitoring instance in the first host for exchanging test packets between the first host and the second host for monitoring network performance.

Monitoring controller and a method performed thereby for monitoring network performance

A method and network device for resource-aware dynamic monitoring of application units is described. Instantiation of a monitoring element is caused. A first usage status of resources is obtained. Configuration parameters of the monitoring element are set based upon the first usage status of the resources. The monitoring element is scheduled based upon the first usage status of the resources. A second usage status of the resources is obtained. A determination is performed of whether to update the monitoring element based upon the second usage status of the resources. Responsive to determining that the monitoring element is to be updated, at least one of the following is performed: (i) updating the one or more configuration parameters of the monitoring element based upon the second usage status of the resources, and (ii) rescheduling the monitoring element based upon the second usage status of the resources.

Dynamic management of monitoring tasks in a cloud environment

A first network device enables active measurement in a network path between a second network device acting as a controller of a network performance observability protocol and a wireless device. The first network device captures a measurement packet from the second network device; determines a destination of the measurement packet; and determines a measurement model associated with the destination. The measurement model represents a correspondence between one or more parameters related to the wireless device and estimated values of a measurement for the wireless device. The first network device determines a current value of a parameter related to the wireless device; determines, based on the current value of the parameter and the measurement model, a current estimation of the measurement for the wireless device; and responds to the measurement packet based on the current estimation of the measurement while avoiding to transmit the measurement packet to the wireless device.

Method and apparatus for enabling active measurements in internet of things (IoT) systems

A compute infrastructure interconnected with a network configured for allotting a benchmark message. The benchmark message comprises program code, or references to program code, to be executed on a reflecting entity. The reflecting entity is able to execute program code. The program code requests capabilities of the reflecting entity when being executed. The compute infrastructure is further configured for sending of the benchmark message to the reflecting entity. The compute infrastructure is further configured for receiving the benchmark message and for executing, in the reflecting entity, the program code. The compute infrastructure is further configured for providing a benchmark reply message. The benchmark reply message comprises execution time and optionally execution result of the execution of said program code. The compute infrastructure is further configured for returning the benchmark reply message from the reflecting entity.

Compute infrastructure resource monitoring method and entities

It is disclosed a server node, a virtual container and methods performed therein for establishing a monitoring function monitoring performance metrics of data traffic of a first task container in a virtual environment. The methods comprise instantiating a monitoring function, receiving data traffic, communicated between the first task container and a second task container, which data traffic is mirrored to a monitoring container. The methods also comprise executing the monitoring function monitoring the performance metrics of the mirrored data traffic. Monitoring and task processes are separated, which allows multiple VNFs to share the same monitor reducing overhead. The disclosure allows for an automatic instantiation and configuration of monitor functions deployed in containers, eliminating the need for manual selection of measurement points, and thus reducing operational expenditure.

Methods and devices for monitoring of network performance for container virtualization

A method for managing active measurements for determining performance parameters in a communication network comprises obtaining of a maximum permitted subsession duration and obtaining of time margins. The method further comprises determining whether or not a critical resource involved in the active measurement is active due to other activities than active measurements. If the determination concluded that the critical resource is active, a sending of an ensemble of packets of a subsession of an active measurement session is initiated. If there is an intended next subsession of the active measurement session and if a time since a last ensemble of packets was sent exceeds a sleep-init time comprised in the time margins, at least the determining and, if permitted, the initiating a sending of an ensemble of packets of the next subsession of the active measurement session is repeated.

Methods and arrangements for active measurements

An Admission Control Node and a method performed thereby for enabling a measurement between a first and a second device in a communication network, and a first device and a method performed thereby for performing the measurement between the first device and the second device in a communication network are provided. The method in the Admission Control Node comprises receiving, from the first device, a request for performing the measurement between the first and the second device and, determining segments comprised in a path between the first and the second device. The method also comprises determining a current measurement situation for the segments, and deciding to allow or reject the request for performing the measurement based on the current measurement situation for the segments. The method further comprises informing the first device about the decision of allowing or rejecting the request for performing the measurement.

Admission control for allowing or rejecting a measurement request between a first and a second device

A method performed by a hypervisor executing a virtual machine for enabling a performance measurement between the virtual machine and a peer node, and a method performed by a physical machine comprising the hypervisor are provided. The method performed by the hypervisor comprises intercepting a packet transmitted from, or destined to, the virtual machine, the packet comprising a destination address to the virtual machine or to the peer node, and determining whether to insert a hypervisor time stamp or not in the packet. The method further comprises, when it is determined to insert the hypervisor time stamp in the packet, inserting a hypervisor time stamp in the packet, and forwarding the packet to its destination according to the destination address.

Hypervisor and physical machine and respective methods therein for performance measurement

Mechanisms for designating particular nodes in a network as measurement endpoint (MEP) nodes are disclosed. Network topology information that identifies a plurality of nodes and communication links in a network is accessed. An initial chromosome generation is established. Each chromosome in the chromosome generation comprises a structure that identifies each node in the plurality of nodes that has an MEP capability and that includes an MEP state indicator for each node. A succession of a plurality of chromosome generations are generated by evolving each chromosome generation into a successive chromosome generation based on a genetic selection function and a fitness function until a threshold condition is met. An optimal chromosome from a successive chromosome generation is determined. A configuration command is sent to each node in a subset of the nodes that configures each node to operate as a MEP node.

Growing community of inventors

Uppsala, Sweden

Andreas Johnsson