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Distributed View Divergence Control of Data Freshness in Replicated Database Systems
October 2009 (vol. 21 no. 10)
pp. 1403-1417
ASCII Text
x 
 
Takao Yamashita, "Distributed View Divergence Control of Data Freshness in Replicated Database Systems," IEEE Transactions on Knowledge and Data Engineering, vol. 21, no. 10, pp. 1403-1417, October, 2009.
 
 
BibTex
x
 
@article{ 10.1109/TKDE.2008.230,
author = {Takao Yamashita},
title = {Distributed View Divergence Control of Data Freshness in Replicated Database Systems},
journal ={IEEE Transactions on Knowledge and Data Engineering},
volume = {21},
number = {10},
issn = {1041-4347},
year = {2009},
pages = {1403-1417},
doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2008.230},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Knowledge and Data Engineering
TI - Distributed View Divergence Control of Data Freshness in Replicated Database Systems
IS - 10
SN - 1041-4347
SP1403
EP1417
EPD - 1403-1417
A1 - Takao Yamashita,
PY - 2009
KW - Data replication
KW - weak consistency
KW - freshness
KW - delay
KW - asynchronous update.
VL - 21
JA - IEEE Transactions on Knowledge and Data Engineering
ER -
 
Takao Yamashita, Nippon Telegraph and Telephone Corporation, Tokyo
In this paper, we propose a distributed method to control the view divergence of data freshness for clients in replicated database systems whose facilitating or administrative roles are equal. Our method provides data with statistically defined freshness to clients when updates are initially accepted by any of the replicas, and then, asynchronously propagated among the replicas that are connected in a tree structure. To provide data with freshness specified by clients, our method selects multiple replicas using a distributed algorithm so that they statistically receive all updates issued up to a specified time before the present time. We evaluated by simulation the distributed algorithm to select replicas for the view divergence control in terms of controlled data freshness, time, message, and computation complexity. The simulation showed that our method achieves more than 36.9 percent improvement in data freshness compared with epidemic-style update propagation.

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Index Terms:
Data replication, weak consistency, freshness, delay, asynchronous update.
Citation:
Takao Yamashita, "Distributed View Divergence Control of Data Freshness in Replicated Database Systems," IEEE Transactions on Knowledge and Data Engineering, vol. 21, no. 10, pp. 1403-1417, Oct. 2009, doi:10.1109/TKDE.2008.230
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