Clustering Algorithm for Distributed Real-Time Database sites
Ahmed, H., Salem, R., Saleh, S. (2015). Clustering Algorithm for Distributed Real-Time Database sites. EKB Journal Management System, 4(1), 11-20. doi: 10.21608/ijci.2015.33957
Hatem Ahmed; Rashed Salem; Safa'a Said Saleh. "Clustering Algorithm for Distributed Real-Time Database sites". EKB Journal Management System, 4, 1, 2015, 11-20. doi: 10.21608/ijci.2015.33957
Ahmed, H., Salem, R., Saleh, S. (2015). 'Clustering Algorithm for Distributed Real-Time Database sites', EKB Journal Management System, 4(1), pp. 11-20. doi: 10.21608/ijci.2015.33957
Ahmed, H., Salem, R., Saleh, S. Clustering Algorithm for Distributed Real-Time Database sites. EKB Journal Management System, 2015; 4(1): 11-20. doi: 10.21608/ijci.2015.33957

Clustering Algorithm for Distributed Real-Time Database sites

IJCI. International Journal of Computers and Information
Article 2, Volume 4, Issue 1, June 2015, Page 11-20  XML PDF (726.37 K)
Document Type: Original Article
DOI: 10.21608/ijci.2015.33957
View on SCiNiTO View on SCiNiTO
Authors
Hatem Ahmed1; Rashed Salem2; Safa'a Said Saleh2
1Faculty of Computer and Information Menoufia University
2Information Systems Dept., Menoufia University, Shebin Elkom, Eygpt
Abstract
The demand for real-time database is increasing. Indeed, most real-time systems are inherently distributed in nature and
need to handle data in a timely fashion. Obtaining data from remote sites may take long time making the temporal data invalid. This results in large number of tardy transactions with their catastrophic effect. Clustering the database sites nodes can help distributed real-time database systems to face the challenges meeting their time requirements. Reducing the large number of network sites into many clusters with smaller number of sites will effectively decrease the response time, resulting in better meeting of time constraints. In this paper, we introduce a clustering algorithm for distributed real-time database that depend on both the communication time cost and the timing properties of data. The results show the effectiveness of the proposed approach via achieving lower communication time, higher database performance and better meeting of timing requirements.
Keywords
Clustering; Database; real-time distributed systems
Statistics
Article View: 215
PDF Download: 339