Improving reliability and performances in large scale distributed applications with erasure codes and replication
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- 作者：Marco Gribaudoa ; gribaudo@elet.polimi.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Mauro Iaconob ; mauro.iacono@unina2.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Daniele Maninic ; manini@di.unito.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Performance modeling ; Cloud computing and big data infrastructures ; Storage systems ; Erasure codes
- 刊名：Future Generation Computer Systems
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：56
- 期：Complete
- 页码：773-782
- 全文大小：647 K
文摘
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We evaluate the performances of mixed erasure coding/replication allocation schemes.
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We model architectures with massively distributed storage.
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We show the effects of the different parameters on the performances of the allocation technique.