Thomson Licensing

Efstratios Ioannidis

Laurent Massoulie

Wenjie Jiang

Xia Zhou

Augustin Chaintreau

Fabio Picconi

A content distribution network, including: a content server that stores a set of content items; a plurality of gateways for storing and serving content requests to a subset of the content items, the plurality of gateways being grouped into a plurality of classes of gateways; and a plurality of class trackers corresponding to the plurality of classes; wherein each class tracker manages a placement of content items and an assignment of content requests for its class of gateways; wherein the plurality of class trackers exchange congestion signals among themselves; wherein, for each content item, each class tracker determines a fraction of gateways in its class of gateways that store the content item and a rate of content requests that are forwarded to the content server or other class trackers, based on requests for the content item entering its class and the congestion signals received from other class trackers.

Method and apparatus for transferring content among large clusters of storage devices to achieve a target replication distribution

The present invention concerns the replication of data, in particular the replication of data in a peer-to-peer network of mobile devices. Each device stores a plurality of data items. When two devices come into range, a decision as to whether to replicate a data item is made in dependence the extent to which that data item has been requested by other devices, and (b) the extent to which that data item is replicated on other devices. In this way, both the demand and supply of a data item are taken into account.

Replicating data

A method for recommending content items to a user is provided. It includes: (i) receiving one of at least an acceptance input and a rejection input from a user in relation to content presented to the user; (ii) in response to an acceptance input, rendering the presented content, or in response to a rejection input, selecting fresh content for presentation; and, (iii) repeating steps (i) and (ii) until a acceptance input is received. Content is selected in dependence on a associated probability associated with that content. The probability is increased in response to an acceptance input, the increase being determined in part on a measure of a predicted reduction in user satisfaction that would be associated with an additional rejection input.

Recommending content

A method is intended for controlling dissemination of content in a peer-to-peer mode between peers having wireless communication capacities and comprising a cache memory for storing contents. This method consists, each time a peer, having a group of variable values each associated to a content it can store into its cache memory and representative of utility that storing of this content represents for it and for other peers, accesses to a wireless network or to another peer offering access to these contents, in downloading N contents having the N highest variable values into its group, N being a number depending on the storage capacity the peer is ready to use into its cache memory to store contents to be downloaded.

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San Francisco, CA, United States of America

Efstratios Ioannidis