Title: Improving cloud computing services indexing based on B^Cloud-tree with users preferences

Authors: Ahmed Khalid Yassine Settouti; Fedoua Didi; Mohammed Haddad

Addresses: Laboratory of Research in Informatics of Tlemcen, Tlemcen University, 22, Rue Abi Ayed Abdelkrim, Fg Pasteur B.P 119, 13000, Tlemcen, Algeria ' Laboratory of Research in Informatics of Tlemcen, Tlemcen University, 22, Rue Abi Ayed Abdelkrim, Fg Pasteur B.P 119, 13000, Tlemcen, Algeria ' LIRIS UMR 5205, CNRS, University of Claude Bernard Lyon 1, 43 Bd du 11 Novembre 1918, 69622 Villeurbanne Cedex, France

Abstract: Wireless sensor networks and cloud computing are different but complementary. In a hand, the wireless nodes are resources limited and battery constrained. In the other hand, cloud computing is unlimited in terms of computing, storage, network and power resources. Integrating such different concepts results obviously some troubles; especially for WSN owners who want to pick up the most suitable cloud computing provider. In addition, we suppose that both of the clients (WSN owners) and services are heterogeneous, various and dissimilar. In this paper, we propose an indexation method of public IaaS virtual machines in an AVL-tree. For that, we employ a Z-order function to arrange services in the structure and make the research more efficient. Experiments prove the performance superiority of the proposed approach in comparison with similar works in the literature.

Keywords: cloud computing; service selection; user preference; quality measure; public IaaS; wireless sensor networks; WSN; service ranking; indexing; B^Cloud-tree.

DOI: 10.1504/IJITST.2019.102801

International Journal of Internet Technology and Secured Transactions, 2019 Vol.9 No.4, pp.475 - 490

Received: 04 Apr 2017
Accepted: 08 Sep 2017
Published online: 08 Oct 2019 *

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