Design and Implementation of Human-Computer Interaction System in Parallel Digital Library System Based on Neural Network

Information and communication technologies are well thought-out as probable assets for the development of socioeconomics in developing countries. Studies have shown that enhanced infrastructure of telecommunication has facilitated means for underserved population development by various ways. Among the existing applications of ICT, the digital library systems provide with better solutions and respond to a variety of unmet needs of research institutions, scientific communities, and developments. With the development of digital library technology, the parallel database system has become the main tool for efficient information processing in the digital library system. On this basis, based on the parallel environment of the computer cluster, by coordinating the communication in the parallel environment, the coordinator, the collection machine, and the query processor can complete the operation of distribution, load, and maintenance, which has high efficiency and saves much precious time, supports the digital library to meet user requirements effectively, and meets the digital library’s performance requirements for data, and also, the key problem in the parallel algorithm has been solved. The experimental results show that this parallel technique has very good performance and efficiency.

Horizontal Data Partitioning

Horizontal data partitioning is the process of splitting access objects into set of disjoint rows. It was first introduced in the end of 70’s and beginning of the 80’s (Ceri et al., 1982) for logically designing databases in order to improve the query performance by eliminating unnecessary accesses to non-relevant data. It knew a large success (in the beginning of the 80’s) in designing homogeneous distributed databases (Ceri et al., 1982; Ceri et al., 1984; Özsu et al., 1999) and parallel databases (DeWitt et al., 1992; Valduriez, 1993). In distributed environment, horizontal partitioning decomposes global tables into horizontal fragments, where each partition may be spread over multiple nodes. End users at the node can perform local queries/transactions on the partition transparently (the fragmentation of data across multiple sites/processors is not visible to the users.). This increases performance for sites that have regular transactions involving certain views of data, whilst maintaining availability and security. In parallel database context (Rao et al., 2002), horizontal partitioning has been used in order to speed up query performance in a sharednothing parallel database system (DeWitt et al., 1992). This will be done by both intra-query and intra-query parallelisms (Valduriez, 1993). It also facilitates the exploitation of the inputs/outputs bandwidth of the disks by reading and writing data in parallel. In this paper, we use fragmentation and partitioning words interchangeably.