Towards Auto-Scaling Existing Transactional Databases with Strong Consistency

Georgiou, Michael A.; Paphitis, Aristodemos; Sirivianos, Michael; Herodotou, Herodotos

doi:10.1109/icdew.2019.00-26

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…Current state of the art systems solve the problems related to scalability using replication. Mostly they are developed using existing RDBMS engines with specialized replicated back-end storage [46] or additional middleware level [47].…”

Section: Related Workmentioning

confidence: 99%

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Highly Scalable Distributed Architecture for NoSQL Datastore Supporting Strong Consistency

2021

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Introducing a strong consistency model into NoSQL data storages is one of the most interesting issues nowadays. In spite of the CAP theorem, many NoSQL systems try to strengthen the consistency to their limits to better serve the business needs. However, many consistency-related problems that occur in popular data storages are impossible to overcome and enforce rebuilding the whole system from scratch. Additionally, providing scalability to those systems really complicates the matter. In this paper, a novel data storage architecture that supports strong consistency without loosing scalability is proposed. It provides strong consistency according to the following requirements: high scalability, high availability, and high throughput. The proposed solution is based on the Scalable Distributed Two-Layer Data Store which has proven to be a very efficient NoSQL system. The proposed architecture takes into account the concurrent execution of operations and unfinished operations. The theoretical correctness of the architecture as well as experimental evaluation in comparison to traditional mechanisms like locking and versioning is also shown. Comparative analysis with popular NoSQL systems like MongoDB and MemCached is also presented. Obtained results show that the proposed architecture presents a very high performance in comparison to existing NoSQL systems.

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Section: Related Workmentioning

confidence: 99%

“…Those replication-based solutions may be organized both as Master-slave or Multi-master systems [47]. Consequently, more specialized consistency mechanisms are needed to improve/support those systems.…”

Section: Related Workmentioning

confidence: 99%

Highly Scalable Distributed Architecture for NoSQL Datastore Supporting Strong Consistency

2021

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“…A replication-based middleware system, Hihooi, presented by Georgiou et al, includes a novel routing algorithm [21]. The system itself is designed to enable high scalability, consistency, and elasticity for transactional databases.…”

mentioning

confidence: 99%

A Method of Transparent Graceful Failover in Low Latency Stateful Microservices

Pakrijauskas

Mažeika

2022

Electronics

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Microservice architecture is a preferred way to build applications. Being flexible and loosely coupled, it allows to deploy code at a high pace. State, or, in other words, data is not only a commodity but crucial to any business. The high availability and accessibility of data enables companies to remain competitive. However, maintaining low latency stateful microservices, for example, performing updates, is difficult compared to stateless microservices. Making changes to a stateful microservice requires a graceful failover, which has an impact on the availability budget. The method of graceful failover is proposed to improve availability of a low latency stateful microservice when performing maintenance. By observing database connection activity and forcefully terminating idle client connections, the method allows to redirect database requests from one node to another with negligible impact on the client. Thus, the proposed method allows to keep the precious availability budget untouched while performing maintenance operations on low latency stateful microservices. A set of experiments was performed to evaluate stateful microservice availability during failover and to validate the method. The results have shown that near-zero downtime was achieved during a graceful failover.

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