Resilient register emulation is a fundamental technique to implement dependable storage and distributed systems. In data-centric models, where servers are modeled as fail-prone base objects, classical solutions achieve resilience by using fault-tolerant quorums of read-write registers or read-modify-write objects. Recently, this model has attracted renewed interest due to the popularity of cloud storage providers (e.g., Amazon S3), that can be modeled as key-value stores (KVSs) and combined for providing secure and dependable multi-cloud storage services. In this paper we present three novel wait-free multi-writer multi-reader regular register emulations on top of Byzantine-prone KVSs. We implemented and evaluated these constructions using five existing cloud storage services and show that their performance matches or surpasses existing data-centric register emulations.
@InProceedings{oliveira_et_al:LIPIcs.OPODIS.2016.30, author = {Oliveira, Tiago and Mendes, Ricardo and Bessani, Alysson}, title = {{Exploring Key-Value Stores in Multi-Writer Byzantine-Resilient Register Emulations}}, booktitle = {20th International Conference on Principles of Distributed Systems (OPODIS 2016)}, pages = {30:1--30:17}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-031-6}, ISSN = {1868-8969}, year = {2017}, volume = {70}, editor = {Fatourou, Panagiota and Jim\'{e}nez, Ernesto and Pedone, Fernando}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2016.30}, URN = {urn:nbn:de:0030-drops-70999}, doi = {10.4230/LIPIcs.OPODIS.2016.30}, annote = {Keywords: Byzantine fault tolerance, register emulation, multi-writer, key-value store, data-centric algorithms} }
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