Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/23910
Title: | Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently | Authors: | Georgiou, Michael A. Paphitis, Aristodemos Sirivianos, Michael Herodotou, Herodotos |
Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | Database replication;Transaction processing;Workload scalability;Concurrency control | Issue Date: | Feb-2022 | Source: | IEEE Transactions on Knowledge and Data Engineering, 2022, vol. 34, no. 2, pp. 691-707 | Volume: | 34 | Issue: | 2 | Start page: | 691 | End page: | 707 | Journal: | IEEE Transactions on Knowledge and Data Engineering | Abstract: | With the advent of the Internet and Internet-connected devices, modern business applications can experience rapid increases as well as variability in transactional workloads. Database replication has been employed to scale performance and improve availability of relational databases but past approaches have suffered from various issues including limited scalability, performance versus consistency tradeoffs, and requirements for database or application modifications. This paper presents Hihooi, a replication-based middleware system that is able to achieve workload scalability, strong consistency guarantees, and elasticity for existing transactional databases at a low cost. A novel replication algorithm enables Hihooi to propagate database modifications asynchronously to all replicas at high speeds, while ensuring that all replicas are consistent. At the same time, a fine-grained routing algorithm is used to load balance incoming transactions to available replicas in a consistent way. Our thorough experimental evaluation with several well-established benchmarks shows how Hihooi is able to achieve almost linear workload scalability for transactional databases. | URI: | https://hdl.handle.net/20.500.14279/23910 | ISSN: | 15582191 | DOI: | 10.1109/TKDE.2020.2987560 | Rights: | © IEEE | Type: | Article | Affiliation : | Cyprus University of Technology | Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
CORE Recommender
SCOPUSTM
Citations
4
checked on Nov 9, 2023
WEB OF SCIENCETM
Citations
2
Last Week
0
0
Last month
0
0
checked on Oct 29, 2023
Page view(s)
211
Last Week
2
2
Last month
10
10
checked on Aug 28, 2024
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License