Databases, Information Systems, and Peer-to-Peer Computing

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If the query is received for the second time, this time forwards the query to the neighbor with the second to minimum semantic distance to the target, and so on. , discarded). of the query (see above) conditions a key of 2. If the selection condition the relation the first node that receives the query and locates the target data locally terminates the query, because the target data is expected to be unique. 3. The query carries a TTL (Time-To-Live) value, which is decreased by one each time the query is forwarded.

Eddies: continuously adaptive query processing. In In Proceedings of ACM International Conference on Management of Data (SIGMOD’00), May 2000. 4. F. Banaei-Kashani and Cyrus Shahabi. Criticality-based analysis and design of unstructured peer-to-peer networks as complex systems. In Third International Workshop on Global and Peer-to-Peer Computing (GP2PC) in conjunction with CCGrid’03, May 2003. 5. Y. Bar-Yam. Dynamics of Complex Systems. Westview Press, 1997. 6. L. Barabási and R. Albert. Emergence of scaling in random networks.

Here, we discuss the design issues with these systems. Design Principles. Among the design principles for distributed query processing at QDNs one can distinguish the following: 1. In-network query processing: In-network query processing is the main distinc- tion of DB-QDNs. In-network query processing techniques should be implemented in a distributed fashion, ensuring minimal communication overhead and optimal load-balance. 2. Transaction processing with relaxed semantics: Due to the dynamic nature of QDNs, requiring ACID-like semantics for transaction processing in DBQDNs is too costly to be practical and severely limits scalability of such processing technique.

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