Demo Data from VLDB 2026 / reviewers in the wild / expert
Michael A. Georgiou
dblp:244/1484
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 2 first-author · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
2 papers |
Distributed and cloud data management · 50% Transaction processing and concurrency control · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Distributed systems · 54% Cloud and datacenter computing · 46% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed and cloud data management
data replication |
1.1 | 2 | 2022 | Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently · IEEE Trans. Knowl. Data Eng. 2022 Attaining Workload Scalability and Strong Consistency for Replicated Databases with Hihooi · SIGMOD Conference 2021 |
Transaction processing and concurrency control › consistency
strong consistency |
1.1 | 2 | 2022 | Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently · IEEE Trans. Knowl. Data Eng. 2022 Attaining Workload Scalability and Strong Consistency for Replicated Databases with Hihooi · SIGMOD Conference 2021 |
Distributed and cloud data management › data replication
replica consistency |
0.5 | 1 | 2021 | Attaining Workload Scalability and Strong Consistency for Replicated Databases with Hihooi · SIGMOD Conference 2021 |
Transaction processing and concurrency control › distributed transaction processing
transaction routing |
0.5 | 1 | 2021 | Attaining Workload Scalability and Strong Consistency for Replicated Databases with Hihooi · SIGMOD Conference 2021 |
Distributed systems
replication |
0.2 | 1 | 2022 | Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently · IEEE Trans. Knowl. Data Eng. 2022 |
Methods — techniques the papers use, named apart from their topics
fine-grained routing · 1.1asynchronous replication · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Hihooi: A Database Replication Middleware for Scaling Transactional Databases ConsistentlyabstractWith 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. Michael A. Georgiou, Aristodemos Paphitis, Michael Sirivianos, Herodotos Herodotou |
IEEE Trans. Knowl. Data Eng. | 1 |
| 2021 | Attaining Workload Scalability and Strong Consistency for Replicated Databases with HihooiabstractDatabase replication can be employed for scaling transactional workloads while maintaining strong consistency semantics. However, past approaches suffer from various issues such as limited scalability, performance versus consistency tradeoffs, and requirements for database or application modifications. Hihooi is a new replication-based master-slave middleware system that is able to overcome the aforementioned limitations. The novelty of Hihooi lies in its modern architecture as well as its replication and transaction routing algorithms. In particular, Hihooi replicates all write statements asynchronously and applies them in parallel at the replica nodes, while ensuring replica consistency. At the same time, a fine-grained transaction routing algorithm ensures that all read transactions are load balanced to the replicas consistently. This demonstration will showcase the key functionalities of Hihooi, including (i) practical management of system components and databases (e.g., add a new replica node), (ii) increased scalability compared to state-of-the-art approaches, and (iii) support for elasticity by suspending and resuming database replicas online without service interruption. Michael A. Georgiou, Michael Panayiotou, Lambros Odysseos, Aristodemos Paphitis, Michael Sirivianos, Herodotos Herodotou |
SIGMOD Conference | 1 |