By Peter Haase
ISBN-10: 3866441002
ISBN-13: 9783866441002
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Additional resources for Semantic Technologies for Distributed Information Systems
Example text
An additional aspect of change is introduced by the distribution of the data. In a distributed information system the data is physically distributed across multiple nodes, but is logically related. This distribution and these relations may be dynamic. e. the topology of the system, may change. New nodes may join or leave the system, new data sources may appear. In a decentralized system there may not even be control over this process. Capturing changes can occur either from explicit requirements or from the result of change discovery methods, which induce changes from patterns in data and usage.
Example Systems. The term Peer-to-Peer has become famous with large-scale le + sharing systems such as Napster, Gnutella [Kan99], and Freenet [CMH 02]. A more detailed overview of these speci c systems can also be found in [AH02]. These systems are fairly simple in terms of the descriptions of their resources. They typically limit the search to lenames. Instead, most effort has been taken to achieve scalable solu- tions. The issue of decentralized coordination schemes for robust and ef cient routing of queries is the topic of a number of Peer-to-Peer systems in the research community, + + + including CAN [RFH 01], Chord [SMK 01], Pastry [RD01], and P-Grid [ACMD 03].
In the case of completely centralized topologies, one node has complete control over all other nodes, whereas in completely decentralized topologies, there is no central control and all nodes act autonomously. Autonomy of nodes is a key property of distributed information systems. As we have seen in the discussion of the three classes of distributed information systems, it is a desirable property for a number of reasons, which we can summarize along the following dimensions according to [GMK88]: 24 2.
Semantic Technologies for Distributed Information Systems by Peter Haase
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