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Keyword-based search services have become necessary tools for finding information resources on the Internet today. The rapid growth of information on the Internet renders centralized keyword index services incapable of collecting comprehensive resource meta-data in a timely manner. We argue that delegating the task of meta-data collection to local index servers is a more scalable approach. We propose a mechanism for integrating distributed autonomous index servers into a cooperative resource discovery system. Focusing on the retrieval effectiveness of the system, we propose a set of methods, called CVV-based methods, for ranking and selecting index servers with respect to a query, and merging the results returned by the index servers. Through experiments, we evaluate the effectiveness of the CVV-based methods, and compare our server ranking method with methods proposed by other researchers.