Decentralized replication strategies for P2P based scientific data grid

Scientific Data Grid provides geographically distributed resources for large-scale data-intensive applications that generate large scientific data sets and it mostly deals with large computational problems. Research in the area of grid has given various ideas and solutions to address these requireme...

Full description

Bibliographic Details
Main Authors: Abdullah, Azizol, Othman, Mohamed, Ibrahim, Hamidah, Sulaiman, Md. Nasir, Othman, Abu Talib
Format: Conference or Workshop Item
Language:English
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/48234/
http://psasir.upm.edu.my/id/eprint/48234/1/Decentralized%20replication%20strategies%20for%20P2P%20based%20scientific%20data%20grid.pdf
_version_ 1848851026677858304
author Abdullah, Azizol
Othman, Mohamed
Ibrahim, Hamidah
Sulaiman, Md. Nasir
Othman, Abu Talib
author_facet Abdullah, Azizol
Othman, Mohamed
Ibrahim, Hamidah
Sulaiman, Md. Nasir
Othman, Abu Talib
author_sort Abdullah, Azizol
building UPM Institutional Repository
collection Online Access
description Scientific Data Grid provides geographically distributed resources for large-scale data-intensive applications that generate large scientific data sets and it mostly deals with large computational problems. Research in the area of grid has given various ideas and solutions to address these requirements. However, since the number of participants (scientists and institutes) that involve in this kind of environment is increasing tremendously, scalability, availability and reliability have been the core problem for such system. Peer-to-peer (P2P) is one of the architecture that promising scale and dynamism environment. In this paper, we present a P2P model for Scientific Data Grid that utilizes the P2P services to address those problems. For the purpose of this study, we have developed and used our own data grid simulation written using PARSEC. In this paper, we illustrate our P2P Scientific Data Grid model, our data grid simulation and the design of proposed data replication strategies. We then analyze the performance of data discovery service with and without the existence of replication strategies relative to their success rates, response time, average number of hop and bandwidth consumption. The results from simulation study that show how the proposed replication strategies promote high data availability in the proposed Scientific Data Grid model and how these strategies improve the discovery process are presented.
first_indexed 2025-11-15T10:15:38Z
format Conference or Workshop Item
id upm-48234
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T10:15:38Z
publishDate 2008
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling upm-482342019-05-28T07:28:33Z http://psasir.upm.edu.my/id/eprint/48234/ Decentralized replication strategies for P2P based scientific data grid Abdullah, Azizol Othman, Mohamed Ibrahim, Hamidah Sulaiman, Md. Nasir Othman, Abu Talib Scientific Data Grid provides geographically distributed resources for large-scale data-intensive applications that generate large scientific data sets and it mostly deals with large computational problems. Research in the area of grid has given various ideas and solutions to address these requirements. However, since the number of participants (scientists and institutes) that involve in this kind of environment is increasing tremendously, scalability, availability and reliability have been the core problem for such system. Peer-to-peer (P2P) is one of the architecture that promising scale and dynamism environment. In this paper, we present a P2P model for Scientific Data Grid that utilizes the P2P services to address those problems. For the purpose of this study, we have developed and used our own data grid simulation written using PARSEC. In this paper, we illustrate our P2P Scientific Data Grid model, our data grid simulation and the design of proposed data replication strategies. We then analyze the performance of data discovery service with and without the existence of replication strategies relative to their success rates, response time, average number of hop and bandwidth consumption. The results from simulation study that show how the proposed replication strategies promote high data availability in the proposed Scientific Data Grid model and how these strategies improve the discovery process are presented. IEEE 2008 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48234/1/Decentralized%20replication%20strategies%20for%20P2P%20based%20scientific%20data%20grid.pdf Abdullah, Azizol and Othman, Mohamed and Ibrahim, Hamidah and Sulaiman, Md. Nasir and Othman, Abu Talib (2008) Decentralized replication strategies for P2P based scientific data grid. In: 3rd International Symposium on Information Technology (ITSim'08), 26-28 Aug. 2008, Kuala Lumpur, Malaysia. . 10.1109/ITSIM.2008.4632073
spellingShingle Abdullah, Azizol
Othman, Mohamed
Ibrahim, Hamidah
Sulaiman, Md. Nasir
Othman, Abu Talib
Decentralized replication strategies for P2P based scientific data grid
title Decentralized replication strategies for P2P based scientific data grid
title_full Decentralized replication strategies for P2P based scientific data grid
title_fullStr Decentralized replication strategies for P2P based scientific data grid
title_full_unstemmed Decentralized replication strategies for P2P based scientific data grid
title_short Decentralized replication strategies for P2P based scientific data grid
title_sort decentralized replication strategies for p2p based scientific data grid
url http://psasir.upm.edu.my/id/eprint/48234/
http://psasir.upm.edu.my/id/eprint/48234/
http://psasir.upm.edu.my/id/eprint/48234/1/Decentralized%20replication%20strategies%20for%20P2P%20based%20scientific%20data%20grid.pdf