UMP Institutional Repository

Neighbour replication on grid deadlock detection framework

Noriyani, Mohd Zin and Noraziah, Ahmad and Ainul Azila, Che Fauzi (2011) Neighbour replication on grid deadlock detection framework. In: International Conference on Digital Enterprise and Information Systems (DEIS 2011), 20-22 July 2011 , London, United Kingdom. pp. 350-357., 194.

[img]
Preview
Pdf
Neighbour replication on grid deadlock detection framework.pdf

Download (277kB) | Preview

Abstract

Data grid is a distributed computing architecture that integrates a large number of data and computing resources into a single virtual data management system. It coordinated the data from several of resources and enables the sharing of the data. In handling and managing data grid some of problems must be considered such as reliability and availability of the data to the user access, network latency, failures or malicious attacks during execution and etc. These problems can overcome by using replication technique. The data will replicate into several sites. If one of the sites has fail, it will fail independently and not affect to others node. The deadlock is the most important problem that must be manages when sharing any data in data grids. Furthermore, it can reduce the throughput by minimizing the available resources, so it becomes an important resource management problem in distributed systems. In this paper, we propose Neighbour Replication Grid Deadlock Detection (NRGDD) framework to detect the deadlock during transaction occur in Neighbour Replication on Grid replication model. Based on this framework it shows how the deadlock can be detected.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: NRGDD framework; replication; deadlock detection; probe message
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 17 Oct 2019 04:27
Last Modified: 17 Oct 2019 04:27
URI: http://umpir.ump.edu.my/id/eprint/26137
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item