@inproceedings{4fb3d361c23a464eb0351c1e952d5726,
title = "Migratable Paxos: Low Latency and High Throughput Consensus Under Geographically Shifting Workloads",
abstract = "Global web services or storage systems have to respond to changes in clients{\textquoteright} access characteristics for lower latency and higher throughput. As access locality is very common, deploying more servers in datacenters close to clients or moving related data between datacenters is the common practice to respond to those changes. Now Paxos-based protocols are widely used to tolerate failures, but the Reconfiguration process (i.e., the process to changing working servers) of existing Paxos-based protocols is slow and costly, thus has a great impact on performance. In this paper, we propose Migratable Paxos (MPaxos), a new Paxos-based consensus protocol that minimizes the duration of reconfiguration and accelerates the migration of data between datacenters, without losing low commit latency and high throughput.",
keywords = "Global web services, Migration, Paxos consensus protocol, Shifting workloads",
author = "Yanzhao Wang and Huiqi Hu and Weining Qian and Aoying Zhou",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 25th International Conference on Database Systems for Advanced Applications, DASFAA 2020 ; Conference date: 24-09-2020 Through 27-09-2020",
year = "2020",
doi = "10.1007/978-3-030-59410-7\_20",
language = "英语",
isbn = "9783030594091",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "296--304",
editor = "Yunmook Nah and Bin Cui and Sang-Won Lee and Yu, \{Jeffrey Xu\} and Yang-Sae Moon and Whang, \{Steven Euijong\}",
booktitle = "Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Proceedings",
address = "德国",
}