Proceedings ArticleDOI
Dynamo: amazon's highly available key-value store
Giuseppe deCandia,Deniz Hastorun,Madan Mohan Rao Jampani,Gunavardhan Kakulapati,Avinash Lakshman,Alex Pilchin,Swaminathan Sivasubramanian,Peter Sven Vosshall,Werner Vogels +8 more
- Vol. 41, Iss: 6, pp 205-220
TLDR
D Dynamo is presented, a highly available key-value storage system that some of Amazon's core services use to provide an "always-on" experience and makes extensive use of object versioning and application-assisted conflict resolution in a manner that provides a novel interface for developers to use.Abstract:
Reliability at massive scale is one of the biggest challenges we face at Amazon.com, one of the largest e-commerce operations in the world; even the slightest outage has significant financial consequences and impacts customer trust. The Amazon.com platform, which provides services for many web sites worldwide, is implemented on top of an infrastructure of tens of thousands of servers and network components located in many datacenters around the world. At this scale, small and large components fail continuously and the way persistent state is managed in the face of these failures drives the reliability and scalability of the software systems.This paper presents the design and implementation of Dynamo, a highly available key-value storage system that some of Amazon's core services use to provide an "always-on" experience. To achieve this level of availability, Dynamo sacrifices consistency under certain failure scenarios. It makes extensive use of object versioning and application-assisted conflict resolution in a manner that provides a novel interface for developers to use.read more
Citations
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A global name service for a highly mobile internetwork
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Morsa: a scalable approach for persisting and accessing large models
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TL;DR: Asynchronous state capture as discussed by the authors is a probabilistic model for fault tolerance in distributed systems, where the primary system will acknowledge the work request and its actions without waiting to ensure that the backup is notified of the work.
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TL;DR: In this article, the authors propose a scalable scale-out workload for data centers using modern server hardware, which faces physical constraints in space and power, limiting further computational resources and making it difficult to scale up.
References
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