Abstract
Cloud computing is becoming increasingly popular as it enables users to save both development and deployment time. It also reduces the operational costs of using and maintaining the systems. Moreover, it allows the use of any resources with elasticity instead of predicting workload which may be not accurate, as the data warehousing environments can benefit from this trend. In this paper, a cloud-based view allocation algorithm is presented to enhance the performance of the data warehousing system over a Peer-to-Peer architecture. The proposed approach improves the placement of the materialized views. It also reduces the cost of the dematerialization process more than any other policies. Furthermore, the proposed algorithm saves the transfer cost by distributing the free space on the peers based on the required space to store the views.
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Megahed, M.E., Ismail, R.M., Badr, N.L., Tolba, M.F. (2012). An Enhanced Cloud-Based View Materialization Approach for Peer-to-Peer Architecture. In: Hassanien, A.E., Salem, AB.M., Ramadan, R., Kim, Th. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2012. Communications in Computer and Information Science, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35326-0_40
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DOI: https://doi.org/10.1007/978-3-642-35326-0_40
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