Multimedia content adaptation has been proved to be an effective mechanism to mitigate the problem of devices and networks heterogeneity and constraints in pervasive computing environments. Moreover, it enables to deliver data taking into consideration the user's preferences and the context of his/her environment. In this paper, we present an algorithm for service composition and protocols for executing service composition plan. Both the algorithm and the protocols are implemented in our distributed content adaptation framework (DCAF) which provides a service-based content adaptation architecture. Finally, a performance evaluation of the algorithm and the protocols is presented.
In a Mobile Ad-hoc NETwork (MANET), information sharing is usually performed by distributing advertisements and queries. In order not to load environments with unnecessary traffic, an advertisement policy should be designed according to users' information consumptions and provisions, which are limited by users' stay-times 1 and their contexts. In this paper, we propose an algorithm to parameterize advertisement policies according to users' staytimes and contexts.
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