Catálogo de publicaciones - libros

The design of ad-hoc, wireless, peer-to-peer applications for small mobile devices raises a number of challenges for the developer, with object synchronisation, network failure, and device limitations being the most significant. In this paper, we introduce the FRAGme2004 framework for mobile P2P application development. To address data availability and stability problems, we have devised an agent-based fostering mechanism to protect applications against data losses in cases of peers dropping out. In contrast to most current literature, we focus on small scale P2P applications, especially gaming applications.

The Agent-Community-based Peer-to-Peer Information Retrieval (ACP2P) method [1],[2] uses agent communities to manage and look up information of interest to users. An agent works as a delegate of its user and searches for information that the user wants by communicating with other agents. The communication between agents is carried out in a peer-to-peer computing architecture. Retrieving information relevant to a user query is performed with content files which consist of original and retrieved documents, and two histories: a query/retrieved document history and a query/sender agent history. The ACP2P is implemented using the Multi-Agent Kodama framework.

In this paper, we present some mathematical aspects of the ACP2P method with respect to the relationships between communication loads and the number of records that are stored both in the two histories and retrieved document content files, and discuss the experimental results, for which illustrate the validity of this approach. The results confirm the mathematical conjectures we presented and show that the two histories are more useful for reducing the communication load than a naive method employing ’multicast’ techniques, and lead to a higher retrieval accuracy than the naive method.

In this paper, we describe how , a framework based on Ubiquitous Agents for accessing through can help to provide nomadic users with relevant and adapted information. Using , the information delivered to a nomadic user (whose location changes) is adapted according to, on the one hand, her/his preferences, intentions and history in the system and, on the other hand, the limited capacities of her/his . We describe the extension we propose for handling adaptation in . We also describe different scenarios which illustrate the way works, especially when a query is processed.