Paper Info
Title
DPR: a dynamic partial replication protocol based on group communication for a web-enable database cluster
Abstract
This paper proposes a dynamic partial replication protocol based upon group communication system for use with a web-enable database cluster. It dynamically combines the advantages of both a partial and a full replication model according to a query pattern. Most eager-update replication protocols that have been suggested as the best replication for a database cluster are based on the full replication. However, an actual database cluster system needs partial replication rather than full replication to achieve high throughputs and scalability. The proposed Dynamic partial Replication (DPR) protocol guarantees consistency among replicas and reduces the overhead due to remote access inherent in the previous partial replication protocols. The proposed protocol consists of three parts: partial replica control, scale-out factor estimation and dynamic replica allocation. Partial replica control part is the framework for the DPR protocol. Scale-out factor estimation part determines the optimal number of replicas according to the current query pattern and access frequency to maximize throughput and efficiency. Dynamic replica allocation part creates or removes the temporary replica in a local site. The simulated evaluation shows that the proposed protocol outperforms the existing eager-update protocols, achieving improvements of approximately 16% in response time and 20% in scalability.
Year
DOI
Venue
2003
10.1007/3-540-36901-5_59
APWeb
Keywords
Field
DocType
partial replication,partial replica control,previous partial replication protocol,best replication,web-enable database cluster,proposed protocol,full replication model,full replication,dynamic partial replication protocol,group communication,eager-update replication protocol,partial replica control part,high throughput
Replica,Replication (computing),Computer science,Communication in small groups,Response time,Partial replication,Throughput,Database,The Internet,Distributed computing,Scalability
Conference
Volume
ISSN
ISBN
2642
0302-9743
3-540-02354-2
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Chung-Ho Lee110.79
Jae-Dong Lee217526.07
Hae-Young Bae37831.47