Towards a scalable Scientific Data Grid model and services

Scientific Data Grid mostly deals with large computational problems. It provides geographically distributed resources for large-scale data-intensive applications that generate large scientific data sets. This required the scientist in modern scientific computing communities involve in managing massi...

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Main Authors: Abdullah, Azizol, Othman, Mohamed, Sulaiman, Md. Nasir, Ibrahim, Hamidah, Othman, Abu Talib
Format: Conference or Workshop Item
Language:English
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/58448/1/Towards%20a%20scalable%20Scientific%20Data%20Grid%20model%20and%20services.pdf
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author Abdullah, Azizol
Othman, Mohamed
Sulaiman, Md. Nasir
Ibrahim, Hamidah
Othman, Abu Talib
author_facet Abdullah, Azizol
Othman, Mohamed
Sulaiman, Md. Nasir
Ibrahim, Hamidah
Othman, Abu Talib
author_sort Abdullah, Azizol
collection UPM
description Scientific Data Grid mostly deals with large computational problems. It provides geographically distributed resources for large-scale data-intensive applications that generate large scientific data sets. This required the scientist in modern scientific computing communities involve in managing massive amounts of a very large data collections that geographically distributed. Research in the area grid has given various ideas and solutions to address these requirements. However, nowadays the number of participants (scientists and institutes) that involve in this kind of environment is increasing tremendously. This situation has leads to a problem of scalability. In order to overcome this problem we need a data grid model that can scale well with the increasing of user. 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 the scalability problem. By using this model, we study and propose various decentralized discovery strategies that intend to address the problem of scalability. We also investigate the impact of data replication that addressing the data distribution and reliability problem for our Scientific Data Grid model on the propose discovery strategies. 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 and our data grid simulation which is used in this study. We then analyze the performance of the discovery strategies with and without the existence of replication strategies relative to their success rates, bandwidth consumption and average number of hop.
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spelling upm.eprints-584482018-01-17T01:57:47Z http://psasir.upm.edu.my/id/eprint/58448/ Towards a scalable Scientific Data Grid model and services Abdullah, Azizol Othman, Mohamed Sulaiman, Md. Nasir Ibrahim, Hamidah Othman, Abu Talib Scientific Data Grid mostly deals with large computational problems. It provides geographically distributed resources for large-scale data-intensive applications that generate large scientific data sets. This required the scientist in modern scientific computing communities involve in managing massive amounts of a very large data collections that geographically distributed. Research in the area grid has given various ideas and solutions to address these requirements. However, nowadays the number of participants (scientists and institutes) that involve in this kind of environment is increasing tremendously. This situation has leads to a problem of scalability. In order to overcome this problem we need a data grid model that can scale well with the increasing of user. 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 the scalability problem. By using this model, we study and propose various decentralized discovery strategies that intend to address the problem of scalability. We also investigate the impact of data replication that addressing the data distribution and reliability problem for our Scientific Data Grid model on the propose discovery strategies. 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 and our data grid simulation which is used in this study. We then analyze the performance of the discovery strategies with and without the existence of replication strategies relative to their success rates, bandwidth consumption and average number of hop. IEEE 2008 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/58448/1/Towards%20a%20scalable%20Scientific%20Data%20Grid%20model%20and%20services.pdf Abdullah, Azizol and Othman, Mohamed and Sulaiman, Md. Nasir and Ibrahim, Hamidah and Othman, Abu Talib (2008) Towards a scalable Scientific Data Grid model and services. In: International Conference on Computer and Communication Engineering 2008 (ICCCE08), 13-15 May 2008, Kuala Lumpur, Malaysia. (pp. 20-25). 10.1109/ICCCE.2008.4580561
spellingShingle Abdullah, Azizol
Othman, Mohamed
Sulaiman, Md. Nasir
Ibrahim, Hamidah
Othman, Abu Talib
Towards a scalable Scientific Data Grid model and services
title Towards a scalable Scientific Data Grid model and services
title_full Towards a scalable Scientific Data Grid model and services
title_fullStr Towards a scalable Scientific Data Grid model and services
title_full_unstemmed Towards a scalable Scientific Data Grid model and services
title_short Towards a scalable Scientific Data Grid model and services
title_sort towards a scalable scientific data grid model and services
url http://psasir.upm.edu.my/id/eprint/58448/1/Towards%20a%20scalable%20Scientific%20Data%20Grid%20model%20and%20services.pdf
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AT ibrahimhamidah towardsascalablescientificdatagridmodelandservices
AT othmanabutalib towardsascalablescientificdatagridmodelandservices