Alcatel Lucent

Nokia Solutions and Networks Oy

Dimitre Davidov Kostadinov

Armen Aghasaryan

Makram Bouzid

Thomas Y Woo

Stéphane Betge-Brezetz

Jerome Picault

Christophe Senot

Kerim Palamutcuogullari

Rajesh Banerjee

Yue Jin

Yann Toms

Dan Kushnir

Pierre Turkiewicz

Nicolas Rebierre

An apparatus for predictive maintenance, the apparatus comprising means for:

Method and apparatus for predictive maintenance

In one embodiment, the method includes determining one or more nodes associated with a treatment of a query; generating one or more stimuli associated with the treatment of the query wherein the or each stimulus are likely to perturb one or more resources within a system; measuring data at the or each node relating to the resources to determine the effect of the or each stimuli at the or each node; identifying one or more pairs of nodes which have a correlation in the measured data; transforming the correlation into a causal relationships where the cause is a measuring device measuring the response and the consequences are the other correlated measuring devices; generating a list of causal relationships; and combining different causal relationships into a causal model so that a chain of causal propagations can be built.

Determining performance in a distributed application or system

An apparatus () manages resources of a resource-controlled system (), e.g. data processing resources in a data processing system. The resource-controlled system () has resource-elasticity, namely it may operate in several states involving different amounts of system resources. The resource management apparatus () may select a modification action having at least one resource variation parameter. The resource variation parameter represents a resource quantity to be added or removed in the resource-controlled system (). The apparatus () may update a value function of an adaptive learning agent () as a function of performance metrics () measured after the resources of the resource-controlled system have been modified by effecting the modification action. Responsive to a safety criterion not being fulfilled, a finer resource variation parameter may be substituted.

Resource management of resource-controlled system

A device (D) is intended for determining potential interests of users (U-U) that are clients of at least one network operator, each user being associated to a profile defining at least his interests. This device (D) comprises i) a tracking means (TM) arranged for analyzing the profile of at least one user (U) to determine new real interest(s) it contains and for storing an identifier representative of a determined new real interest of this user (U) in correspondence with a first date at which it has been considered as a new real interest into his profile, and ii) a recommendation means (RM) arranged for analyzing the first dates of a user (U) to determine a time ordered sequence of interests preceding a determined new real interest, and for comparing this determined user interest sequence to at least one other sequence of interests of at least one other user (U) to predict at least one potential future interest for this user (U), to be introduced into his profile.

Device for determining potential future interests to be introduced into profile(s) of user(s) of communication equipment(s)

Growing community of inventors

Nozay, France

Dimitre Davidov Kostadinov