Towards auto-scaling existing transactional databases with strong consistency
| Autor: | Michael A. Georgiou, Michael Sirivianos, Herodotos Herodotou, Aristodemos Paphitis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Database
Computer science Elasticity (data store) Strong consistency Scalability 02 engineering and technology Electrical Engineering - Electronic Engineering - Information Engineering computer.software_genre Replication (computing) Elasticity Consistency (database systems) Relational database management system 020204 information systems Middleware 0202 electrical engineering electronic engineering information engineering Key (cryptography) Engineering and Technology 020201 artificial intelligence & image processing Technical presentations Relational database systems computer Database replication |
| Zdroj: | ICDE Workshops |
| Popis: | Existing relational database systems often suffer from rapid increases or significant variability of transactional workloads but lack support for scalability or elasticity. Database replication has been employed to scale workload performance but past approaches make various performance versus consistency tradeoffs and typically lack the mechanisms and policies for dynamically adding and removing replicas. This paper presents Hihooi, a replication-based middleware system that is able to achieve scalability, strong consistency, and elasticity for existing transactional databases. These features are enabled by (i) a novel replication algorithm for propagating database modifications asynchronously and consistently to all replicas at high speeds, and (ii) a new routing algorithm for directing incoming transactions to consistent replicas. Our experimental evaluation validates the high scalability and elasticity benefits offered by Hihooi, which form the key ingredients towards a truly auto-scaling system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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