Please use this identifier to cite or link to this item:
http://repositorio.inesctec.pt/handle/123456789/4394| Title: | Towards Quantifiable Eventual Consistency |
| Authors: | Francisco Almeida Maia Miguel Marques Matos Fábio André Coelho |
| Issue Date: | 2016 |
| Abstract: | In the pursuit of highly available systems, storage systems began offering eventually consistent data models. These models are suitable for a number of applications but not applicable for all. In this paper we discuss a system that can offer a eventually consistent data model but can also, when needed, offer a strong consistent one. |
| URI: | http://repositorio.inesctec.pt/handle/123456789/4394 http://dx.doi.org/10.5220/0005929103 |
| metadata.dc.type: | conferenceObject Publication |
| Appears in Collections: | HASLab - Articles in International Conferences |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| P-00K-Q12.pdf | 64.85 kB | Adobe PDF | View/Open |
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