Among the open problems in P2P systems, support for non-trivial search predicates, standardized query languages, distributed query processing, query load balancing, and quality of query results have been identified as some of the most relevant issues. This paper describes how range queries as an important non-trivial search predicate can be supported in a structured overlay network that provides O(log n) search complexity on top of a trie abstraction. We provide analytical results that show that the proposed approach is efficient, supports arbitrary granularity of ranges, and demonstrate that its algorithmic complexity in terms of messages is independent of the size of the queried ranges and only depends on the size of the result set. In contrast to other systems which provide evaluation results only through simulations, we validate the theoretical analysis of the algorithms with large-scale experiments on the PlanetLab infrastructure using a fully-fledged implementation of our approach.

Web is loaded with information and is getting overloaded with data each passing day. There needs to be efficient development in the area of information retrieval so the required data can be fetched accurately and efficiently. In this paper the two promising areas Natural Language Processing and Web technologies which can be combined together to enable the enterprise to combine the unstructured and structured data in ways that was not handled efficiently by traditional tools. The better understanding of web information can be done by integrating NLP and Web portal. The paper also explores various techniques used both areas. Also the NLP frameworks which can be used for the future work in this area.

Data storage and retrieving the data on a specific time frame is critical for any application today. So an efficiently designed query lets the user get the results in the desired time and creates the credibility for the corresponding application. Here in this paper various techniques which are currently used or proposed in recent years and to get a better perspective in this field of query optimization are explored. Automatic external SQL-query optimization method is where the principle of building queries regardless of applied database management system and its settings is explored. It would be interesting to explore the work of authors where they have proposed the energy-efficient query processing and optimization based on a database accelerator.

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