Abstract
In this paper, we present a methodology for managing the Distributed Virtual Memory (DVM). The methodology includes distributed algorithms for DVM management to detect the memory status which will enhance previous DVM techniques. The DVM data structure tables are similar to those found in current Conventional Virtual Memory (CVM) with some modifications. Finally, we evaluate our methodology through experimental results to show the effectiveness of our approach.
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Alouneh, S., Abed, S., Hasan Bqerat, A., Jamil Mohd, B. (2011). A Methodology for Distributed Virtual Memory Improvement. In: Abd Manaf, A., Sahibuddin, S., Ahmad, R., Mohd Daud, S., El-Qawasmeh, E. (eds) Informatics Engineering and Information Science. ICIEIS 2011. Communications in Computer and Information Science, vol 253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25462-8_33
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DOI: https://doi.org/10.1007/978-3-642-25462-8_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25461-1
Online ISBN: 978-3-642-25462-8
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