Telefonaktiebolaget Lm Ericsson (publ)

Péter Benkö

András Veres

Szabolcs Malomsoky

Ferenc Kubinszky

Tamas Borsos

Peter Vaderna

Zsolt Kenesi

Gergely Szabó

Tamás Borsos

Péter Vaderna

Andás Veres

A method is disclosed for sampling data elements from a data stream that comprises a plurality of data elements, each data element having a respective unique quasi-random identifier determined from a set of identifiers. Data elements are selected from the data stream whose identifiers are within a first element selection range to obtain a set including a predefined number of selected data elements, the first element selection range being a subset of the set of identifiers. A second element selection range is determined as a proper subset of the first element selection range. Data elements are discarded from the set of selected data elements whose identifiers are not within the second element selection range. At least one further data element is selected from the data stream whose identifier is within the second element selection range for the set of selected data elements.

Random data stream sampling

A method and apparatus enabling performance monitoring in packet-switched IP networks such as those configured according to an IP multimedia subsystem, IMS, architecture. Performance is monitored by reconstructing selected control signaling sequences. The control signaling sequences, which are typically executed according a signaling protocol such as the Session Initiation Protocol, SIP, are reconstructed by parsing the contents of monitoring request headers configured, modified, and attached to control messages according to the present invention. The header includes at least an IMS monitoring ID field () for identifying the signaling sequence to be reconstructed, a processing node ID field () for representing the entities processing the messages, and a requester ID field () for identifying a requesting entity. It may also specify a monitoring level () indicative of the monitoring tasks required. The monitoring may be requested by an IMS node, or by an entity outside the IMS.

IMS performance monitoring

A method of handling performance data comprising a set of events is described. An event record for each event is stored as a set of blocks, each block containing one or more attributes of the event. The storage space occupied by each event record in is then reduced in discrete steps, each step including a reduction process that reduces the size of one of the set of blocks. This enables the provision of intermediate records between events and counters so that new event records contain complete details of their event, older event records contain less information, and even older event records may contain only high-level (counter) information.

Management of performance data

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Budapest, Hungary

Péter Benkö