Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/52878
Título: | Resource usage prediction in distributed key-value datastores |
Autor(es): | Cruz, Francisco Maia, Francisco Matos, Miguel Ângelo Marques Oliveira, Rui Carlos Mendes de Paulo, João Pereira, José Vilaça, Ricardo Manuel Pereira |
Data: | 2016 |
Editora: | Springer International Publishing AG |
Revista: | Lecture Notes in Computer Science |
Resumo(s): | In order to attain the promises of the Cloud Computing paradigm, systems need to be able to transparently adapt to environment changes. Such behavior benefits from the ability to predict those changes in order to handle them seamlessly. In this paper, we present a mechanism to accurately predict the resource usage of distributed key-value datastores. Our mechanism requires offline training but, in contrast with other approaches, it is sufficient to run it only once per hardware configuration and subsequently use it for online prediction of database performance under any circumstance. The mechanism accurately estimates the database resource usage for any request distribution with an average accuracy of 94 %, only by knowing two parameters: (i) cache hit ratio; and (ii) incoming throughput. Both input values can be observed in real time or synthesized for request allocation decisions. This novel approach is sufficiently simple and generic, while simultaneously being suitable for other practical applications. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/52878 |
ISBN: | 9783319395760 |
DOI: | 10.1007/978-3-319-39577-7_12 |
ISSN: | 0302-9743 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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P-00K-FDT.pdf Acesso restrito! | 1,64 MB | Adobe PDF | Ver/Abrir |