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Anti-Entropy Eventually consistent data stores rely on anti-entropy mecha-nismstorepairdivergentversionsacrossthekeyspacebetweennodes.Itboth 1 For this work we don't discuss stronger consistency guarantees like client session guaranteesorcausalconsistencyacrossmultiplekeys,althoughitiscompatiblewith ourframeworkandit'salsopartofourfuturework. that logical clocks need to implement to correctly track causality in eventually consis-tent systems. We implement both dvv and dvvs using this framework. The rest of this paper is organized as follows. Section 2 presents the system model for the remaining paper. We survey and compare current mechanisms for causality tracking in Section 3. From the output of above snippets we can see batch_get_item eventually consistent read consumed 3.5 (0.5 * 7 items) CapacityUnits which is sum of CapacityUnits consumed by single item in get_item operation and similarly batch_get_item strongly consistent read consumed 7.0 (1.0 * 7 Items) CapacityUnits which is sum of CapacityUnits consumed by Gilbert, S. and Lynch, N. Brewer's conjecture and the feasibility of consistent, available, partition-tolerant Web services. ACM SIGACT News 33, 2 (2002). Google Scholar Digital Library; Lindsay, B.G. et al. Notes on distributed databases. Distributed Data Bases. I.W. Draffan and F. Poole, Eds. Cambridge University Press, Cambridge, MA, 1980, 247--284. Also available as IBM Research Report RJ2517, San Jose, CA (July 1979). Bitbox: eventually consistent le sharing Erwan Le Merrer, Nicolas Le Scouarnec and Gilles Straub Technicolor, France Abstract. Bitbox is an application that synchronizes distributed repos-itories of data. It can be used as a backup or sharing application similarly to popular cloud-based storage systems. Bitbox supports arbitrary and