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A survey on big data indexing strategies

Adamu, Fatimah and Habbal, Adib M. Monzer and Hassan, Suhaidi and Cottrell, R. Les and White, Bebo and Abdullahi, Ibrahim (2015) A survey on big data indexing strategies. In: 4th International Conference on Internet Applications, Protocols and Services (NETAPPS2015), 01-03 December 2015, Cyberjaya, Malaysia.

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The operations of the Internet have led to a significant growth and accumulation of data known as Big Data.Individuals and organizations that utilize this data, had no idea, nor were they prepared for this data explosion.Hence, the available solutions cannot meet the needs of the growing heterogeneous data in terms of processing. This results in inefficient information retrieval or search query results.The design of indexing strategies that can support this need is required. A survey on various indexing strategies and how they are utilized for solving Big Data management issues can serve as a guide for choosing the strategy best suited for a problem, and can also serve as a base for the design of more efficient indexing strategies.The aim of the study is to explore the characteristics of the indexing strategies used in Big Data manageability by covering some of the weaknesses and strengths of B-tree, R-tree, to name but a few. This paper covers some popular indexing strategies used for Big Data management. It exposes the potentials of each by carefully exploring their properties in ways that are related to problem solving.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 978-967-0910-06-2 organized by: UUM InterNetWorks Research Laboratory in collaboration with the Malaysian Communications and Mutimedia Commission (MCMC
Uncontrolled Keywords: Big Data; Indexing; Query; Information Retrieval
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Multimedia Technology & Communication
Depositing User: Mr. Adib M. Monzer Habbal
Date Deposited: 08 Mar 2016 08:37
Last Modified: 26 Apr 2016 08:44
URI: http://repo.uum.edu.my/id/eprint/17462

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