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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Proceedings ArticleDOI
YCSB++: benchmarking and performance debugging advanced features in scalable table stores
Swapnil Patil,Milo Polte,Kai Ren,Wittawat Tantisiriroj,Lin Xiao,Julio Lopez,Garth A. Gibson,Adam Fuchs,Billie Rinaldi +8 more
TL;DR: YCSB++ is described, a set of extensions to the Yahoo! Cloud Serving Benchmark that includes multi-tester coordination for increased load and eventual consistency measurement, multi-phase workloads to quantify the consequences of work deferment and the benefits of anticipatory configuration optimization, and abstract APIs for explicit incorporation of advanced features in benchmark tests.
Journal ArticleDOI
Coordination avoidance in database systems
TL;DR: A formal framework is developed that determines whether an application requires coordination for correct execution by operating on application-level invariants over database states and shows that many are invariant confluent and therefore achievable without coordination.
Proceedings ArticleDOI
NoSQL databases: MongoDB vs cassandra
TL;DR: This paper is to compare and evaluate two of the most popular NoSQL databases: MongoDB and Cassandra.
Proceedings ArticleDOI
ChainReaction: a causal+ consistent datastore based on chain replication
TL;DR: Experimental results show that ChainReaction has better performance in read intensive workloads while offering competitive performance for other workloads and it is shown that the solution requires less metadata when compared with previous work.
Proceedings ArticleDOI
Serving large-scale batch computed data with project Voldemort
TL;DR: Project Voldemort, a general-purpose distributed storage and serving system inspired by Amazon's Dynamo, is extended to support bulk loading terabytes of read-only data, and constructs the index offline, by leveraging the fault tolerance and parallelism of Hadoop.
References
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Time, clocks, and the ordering of events in a distributed system
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