Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/52866
Título: | DDFlasks: Deduplicated very large scale data store |
Autor(es): | Maia, Francisco Paulo, João Coelho, Fábio Neves, Francisco Pereira, José Oliveira, Rui Carlos Mendes de |
Data: | 2017 |
Editora: | Springer Verlag |
Revista: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Resumo(s): | With the increasing number of connected devices, it becomes essential to find novel data management solutions that can leverage their computational and storage capabilities. However, developing very large scale data management systems requires tackling a number of interesting distributed systems challenges, namely continuous failures and high levels of node churn. In this context, epidemic-based protocols proved suitable and effective and have been successfully used to build DataFlasks, an epidemic data store for massive scale systems. Ensuring resiliency in this data store comes with a significant cost in storage resources and network bandwidth consumption. Deduplication has proven to be an efficient technique to reduce both costs but, applying it to a large-scale distributed storage system is not a trivial task. In fact, achieving significant space-savings without compromising the resiliency and decentralized design of these storage systems is a relevant research challenge. In this paper, we extend DataFlasks with deduplication to design DDFlasks. This system is evaluated in a real world scenario using Wikipedia snapshots, and the results are twofold. We show that deduplication is able to decrease storage consumption up to 63% and decrease network bandwidth consumption by up to 20%, while maintaining a fullydecentralized and resilient design. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/52866 |
ISBN: | 9783319596648 |
DOI: | 10.1007/978-3-319-59665-5_4 |
ISSN: | 0302-9743 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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P-00M-V91.pdf Acesso restrito! | 234,86 kB | Adobe PDF | Ver/Abrir |