A Universal Graph Transaction-Log
Luis Garcés Erice, Daniel Bauer, et al.
Middleware 2024
In our data-driven society, there are hundreds of possible data systems in the market with a wide range of configuration parameters, making it very hard for enterprises and users to choose the most suitable data systems. There is a lack of representative empirical evidence to help users make an in- formed decision. Using benchmark results is a widely adopted practice, but like there are several data systems, there are various benchmarks. This ongoing work presents an architecture and methods of a system that supports the recommendation of the most suitable data system for an application. We also illustrates how the recommendation would work in a fictitious scenario.
Luis Garcés Erice, Daniel Bauer, et al.
Middleware 2024
Romeo Kienzler, Leonardo P. Tizzei, et al.
AGU 2024
Elton Figueiredo de Souza Soares, Carlos Alberto Viera Campos
Eng Appl Artif Intell
Phanwadee Sinthong, Dhaval Patel, et al.
VLDB 2022