Abstract
A data warehouse is a representation of the elements and services of the warehouse, with particulars showing how the components will integrate with each other and how the usage of systems will grow over time. Finding the relevant information from a huge database is a hard task and consumes more time. This conflict is addressed using a query scheduling process in the data warehouse. In this paper, Dynamic Fault Tolerant Dependency Scheduling (DFTDS) algorithm has been proposed to schedule the queries based on their dependency and it automatically allocates the resources by checking the status of the virtual machine based on the acknowledgement of reply from client/user queries in distributed data warehouse systems. Experimental study of the proposed DFTDS algorithm shows a significant reduction in query processing time and memory utilization time compared with existing algorithms.
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Krishnaveni, S., Hemalatha, M. (2013). Dependency-Based Query Scheduling in Distributed Data Warehouse Environment. In: Prasath, R., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8284. Springer, Cham. https://doi.org/10.1007/978-3-319-03844-5_50
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DOI: https://doi.org/10.1007/978-3-319-03844-5_50
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03843-8
Online ISBN: 978-3-319-03844-5
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