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General Information
    • ISSN: 2010-3719 (Online)
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET), EBSCO.
    • E-mail ijiee@ejournal.net

University of Brunei Darussalam, Brunei Darussalam   
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IJIEE 2012 Vol.2(5): 697-701 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.190

Efficient and Semantic OLAP Aggregation Queries in a Peer to Peer Network

Yang Kehua and Agnes Manirakiza

Abstract—This paper presents Tracker Cache system - a Peer to Peer (P2P) system for efficient serving OLAP queries and aggregation of data cubes in distributed data sharing system. Tracker Cache system provides a central component called tracker, which acts as a directory, keeping track of all submitted queries and a list of peers caching their results. The key idea is to enable peers to share their local caches, to form an efficient and semantic distributed cache sharing system. For this issue, a query forwarding policy is introduced. To face inconsistent information in the client side cache, we proposed a knowledge replacement policy based on Binary Decision Tree (BDT) to evict unwanted data. Then, we present experimental evaluations to demonstrate the efficiency of our proposed solutions.

Index Terms—Aggregate queries, distributed data cache, peer to peer network, replacement policy, tracker cache.

Yang Kehua is with the department of Computer Science, Hunan University, Hunan, China (e-mail: khyang@hnu.edu.cn).
Agnes Manirakiza is with the department of Computer Engineering and Information Technology, University of KIST, Rwanda.


Cite: Yang Kehua and Agnes Manirakiza, "Efficient and Semantic OLAP Aggregation Queries in a Peer to Peer Network," International Journal of Information and Electronics Engineering vol. 2, no. 5, pp. 697-701, 2012.

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