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CloudTPS: Scalable Transactions for Web Applications in the Cloud
Fourth Quarter 2012 (vol. 5 no. 4)
pp. 525-539
ASCII Text
x 
 
Zhou Wei, Guillaume Pierre, Chi-Hung Chi, "CloudTPS: Scalable Transactions for Web Applications in the Cloud," IEEE Transactions on Services Computing, vol. 5, no. 4, pp. 525-539, Fourth Quarter, 2012.
 
 
BibTex
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@article{ 10.1109/TSC.2011.18,
author = {Zhou Wei and Guillaume Pierre and Chi-Hung Chi},
title = {CloudTPS: Scalable Transactions for Web Applications in the Cloud},
journal ={IEEE Transactions on Services Computing},
volume = {5},
number = {4},
issn = {1939-1374},
year = {2012},
pages = {525-539},
doi = {http://doi.ieeecomputersociety.org/10.1109/TSC.2011.18},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Services Computing
TI - CloudTPS: Scalable Transactions for Web Applications in the Cloud
IS - 4
SN - 1939-1374
SP525
EP539
EPD - 525-539
A1 - Zhou Wei,
A1 - Guillaume Pierre,
A1 - Chi-Hung Chi,
PY - 2012
KW - Cloud computing
KW - Servers
KW - Scalability
KW - Distributed databases
KW - Data models
KW - Internet
KW - NoSQL
KW - Scalability
KW - web applications
KW - cloud computing
KW - transactions
VL - 5
JA - IEEE Transactions on Services Computing
ER -
 
Zhou Wei, VU University Amsterdam, Amsterdam and Tsinghua University, Beijing
Guillaume Pierre, VU University Amsterdam
Chi-Hung Chi, Tsinghua University, Beijing
NoSQL cloud data stores provide scalability and high availability properties for web applications, but at the same time they sacrifice data consistency. However, many applications cannot afford any data inconsistency. CloudTPS is a scalable transaction manager which guarantees full ACID properties for multi-item transactions issued by web applications, even in the presence of server failures and network partitions. We implement this approach on top of the two main families of scalable data layers: Bigtable and SimpleDB. Performance evaluation on top of HBase (an open-source version of Bigtable) in our local cluster and Amazon SimpleDB in the Amazon cloud shows that our system scales linearly at least up to 40 nodes in our local cluster and 80 nodes in the Amazon cloud.
Index Terms:
Cloud computing,Servers,Scalability,Distributed databases,Data models,Internet,NoSQL,Scalability,web applications,cloud computing,transactions
Citation:
Zhou Wei, Guillaume Pierre, Chi-Hung Chi, "CloudTPS: Scalable Transactions for Web Applications in the Cloud," IEEE Transactions on Services Computing, vol. 5, no. 4, pp. 525-539, Fourth Quarter 2012, doi:10.1109/TSC.2011.18
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