NDLI: A new vertical fragmentation algorithm based on ant collective behavior in distributed database systems

Content Provider	Springer Nature Link
Author	Goli, Mehdi Rouhani Rankoohi, Seyed Mohammad Taghi
Copyright Year	2011
Abstract	Considering the existing massive volumes of data processed nowadays and the distributed nature of many organizations, there is no doubt how vital the need is for distributed database systems. In such systems, the response time to a transaction or a query is highly affected by the distribution design of the database system, particularly its methods for fragmentation, replication, and allocation data. According to the relevant literature, from the two approaches to fragmentation, namely horizontal and vertical fragmentation, the latter requires the use of heuristic methods due to it being NP-Hard. Currently, there are a number of different methods of providing vertical fragmentation, which normally introduce a relatively high computational complexity or do not yield optimal results, particularly for large-scale problems. In this paper, because of their distributed and scalable nature, we apply swarm intelligence algorithms to present an algorithm for finding a solution to vertical fragmentation problem, which is optimal in most cases. In our proposed algorithm, the relations are tried to be fragmented in such a way so as not only to make transaction processing at each site as much localized as possible, but also to reduce the costs of operations. Moreover, we report on the experimental results of comparing our algorithm with several other similar algorithms to show that ours outperforms the other algorithms and is able to generate a better solution in terms of the optimality of results and computational complexity.
Starting Page	435
Ending Page	455
Page Count	21
File Format	PDF
ISSN	02191377
Journal	Knowledge and Information Systems
Volume Number	30
Issue Number	2
e-ISSN	02193116
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-02-24
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Distributed database design Data fragmentation Vertical fragmentation Optimal fragment numbers Minimum transaction access cost Ant clustering algorithm Business Information Systems Information Systems and Communication Service
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Information Systems Human-Computer Interaction Hardware and Architecture Software

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