@InProceedings{SilvaVascSilvVasc:2015:ToScSy,
author = "Silva, Leonardo Jos{\'e} Gomes da and Vasconcelos, Leandro
Guarino de and Silva, Glauco da and Vasconcelos, Luiz Eduardo
Guarino de",
affiliation = "Faculdades Integradas, Teresa D'Avila (FATEA) and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto de
Aeron{\'a}utica e Espa{\c{c}}o (IAE)}",
title = "Towards scalability in systems with write operations in relational
databases",
booktitle = "Proceedings...",
year = "2015",
organization = "International Conference on Information Technology: New
Generations, 12. (ITNG)",
keywords = "distributed systems, queueing theory, relational database,
scalability.",
abstract = "The scalability of systems is essential in scenarios where there
is a lot of concurrent users. Some systems have peak access during
certain times, others have a lot of concurrent users regularly.
Thus, these systems must be able to perform equally as a growing
number of requests. The study of system scalability that
manipulate database considers read operations in database systems.
However, in this paper we present an approach for horizontal
scalability on systems that perform write database operations. The
proposed approach uses queuing theory and differs from commonly
developed solutions like clustering databases and elasticity in
the cloud. A case study was conducted with an application of
persistent logs, and two versions of the application have been
implemented in order to compare the efficiency of the use of
queues. Results show the efficiency of the use of queuing theory
implemented to allow scalability for applications with a large
amount of writing database operations.",
conference-location = "Las Vegas",
conference-year = "13-15 Apr.",
urlaccessdate = "27 abr. 2024"
}