Data management of Triple Quorum Replication (TQR) for data grid

Grid computing is essentially distributed computing over wide-area networks that often involve large scale resource sharing among collaborations of individuals or institutes. Computational Grids address computationally intensive applications that deal with complex and time consuming computational pr...

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Main Authors: Latip, Rohaya, Hanandeh, Feras Ahmad Hamid, Abd Wahab, Mohd Helmy, Mizan, Tazquia
Format: Conference or Workshop Item
Language:English
Published: Universiti Utara Malaysia 2012
Online Access:http://psasir.upm.edu.my/id/eprint/59742/1/CR161.pdf
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author Latip, Rohaya
Hanandeh, Feras Ahmad Hamid
Abd Wahab, Mohd Helmy
Mizan, Tazquia
author_facet Latip, Rohaya
Hanandeh, Feras Ahmad Hamid
Abd Wahab, Mohd Helmy
Mizan, Tazquia
author_sort Latip, Rohaya
collection UPM
description Grid computing is essentially distributed computing over wide-area networks that often involve large scale resource sharing among collaborations of individuals or institutes. Computational Grids address computationally intensive applications that deal with complex and time consuming computational problems on relatively small data sets, whereas Data Grids address data intensive applications that deal with the evaluation and mining of large amounts of data in the terabyte and petabyte range. By having large number of data in a complex computing structure such as grid requires a good data management protocol. In this paper, Triple Quorum Replication (TQR) protocol was introduces for grid environment and compares its results of data availability with Enhanced Diagonal Replication 2D Mesh (EDR2M). A simulation of Triple Quorum protocol is developed using Java and results has proven that the TQR has higher data availability compare to EDR2M.
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spelling upm.eprints-597422018-03-21T07:15:38Z http://psasir.upm.edu.my/id/eprint/59742/ Data management of Triple Quorum Replication (TQR) for data grid Latip, Rohaya Hanandeh, Feras Ahmad Hamid Abd Wahab, Mohd Helmy Mizan, Tazquia Grid computing is essentially distributed computing over wide-area networks that often involve large scale resource sharing among collaborations of individuals or institutes. Computational Grids address computationally intensive applications that deal with complex and time consuming computational problems on relatively small data sets, whereas Data Grids address data intensive applications that deal with the evaluation and mining of large amounts of data in the terabyte and petabyte range. By having large number of data in a complex computing structure such as grid requires a good data management protocol. In this paper, Triple Quorum Replication (TQR) protocol was introduces for grid environment and compares its results of data availability with Enhanced Diagonal Replication 2D Mesh (EDR2M). A simulation of Triple Quorum protocol is developed using Java and results has proven that the TQR has higher data availability compare to EDR2M. Universiti Utara Malaysia 2012 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59742/1/CR161.pdf Latip, Rohaya and Hanandeh, Feras Ahmad Hamid and Abd Wahab, Mohd Helmy and Mizan, Tazquia (2012) Data management of Triple Quorum Replication (TQR) for data grid. In: Knowledge Management International Conference (KMICe) 2012, 4-6 July 2012, Johor Bahru, Malaysia. (pp. 387-390).
spellingShingle Latip, Rohaya
Hanandeh, Feras Ahmad Hamid
Abd Wahab, Mohd Helmy
Mizan, Tazquia
Data management of Triple Quorum Replication (TQR) for data grid
title Data management of Triple Quorum Replication (TQR) for data grid
title_full Data management of Triple Quorum Replication (TQR) for data grid
title_fullStr Data management of Triple Quorum Replication (TQR) for data grid
title_full_unstemmed Data management of Triple Quorum Replication (TQR) for data grid
title_short Data management of Triple Quorum Replication (TQR) for data grid
title_sort data management of triple quorum replication tqr for data grid
url http://psasir.upm.edu.my/id/eprint/59742/1/CR161.pdf
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