Luis A. Morales Rosales

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The preservation of temporal relations for real-time distributed continuos media is a key issue for emerging multimedia applications, such as Tele-Immersion and Tele-Engineering. Although several works try to model and execute distributed continuous media scenarios, they are far from resolving the problem. The present paper proposes a viable solution based(More)
— The preservation of temporal dependencies among different media data, such as text, still images, video and audio, and which have simultaneous distributed sources as origin, is an open research area and an important issue for emerging distributed multimedia systems, such as Teleimmersion, Telemedicine, and IPTV. Although there are several works oriented(More)
Emerging distributed multimedia systems such as Telemedicine, Tele-Conference and IPTV, deal with simultaneous geographically distributed sources by transmitting heterogeneous data, such as text, images, graphics, video and audio. The preservation of temporal relations that consider different data types and simultaneous distributed sources is an open(More)
In this paper we present an efficient causal algorithm that can be used in multicast communication environments, in particular the overlapping multi-channel case, where a participant can belong and communicate through more than one multicast channel. The causal algorithm is built on the paradigm of group communication. The groups are established according(More)
In this paper we present an efficient causal multi-channel algorithm that can be used in a multi-group communication environment, including in the overlapping group case. The algorithm is developed upon an extension we propose to the Immediate Dependency Relation (IDR), which was introduced by Peterson. This IDR extension can be used in multi-group(More)
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