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
Declarative programming over eventually consistent data stores
TL;DR: QUELEA is presented, a declarative programming model for eventually consistent data stores (ECDS), equipped with a contract language, capable of specifying fine-grained application - level consistency properties, and an implementation of QUEleA on top of an off-the-shelf ECDS that provides support for coordination-free transactions.
Journal ArticleDOI
Emerging trends and technologies in big data processing
Rubén Casado,Muhammad Younas +1 more
TL;DR: This paper defines a lifecycle for Big Data processing and classifies various available tools and technologies in terms of the lifecycle phases of Big Data, which include data acquisition, data storage, data analysis, and data exploitation of the results.
Proceedings ArticleDOI
Small cache, big effect: provable load balancing for randomly partitioned cluster services
TL;DR: It is shown how a small, fast popularity-based front-end cache can ensure load balancing for an important class of cloud computing services and it is proved an O(n log n) lower-bound on the necessary cache size and shown that this size depends only on the total number of back-end nodes n.
Proceedings ArticleDOI
FlatStore: An Efficient Log-Structured Key-Value Storage Engine for Persistent Memory
TL;DR: This paper proposes an efficient PM-based key-value storage engine named FlatStore, which decouples the role of a KV store into a persistent log structure for efficient storage and a volatile index for fast indexing.
Proceedings ArticleDOI
Distributed shared persistent memory
TL;DR: This work built Hotpot, a kernel-level DSPM system that provides low-latency, transparent memory accesses, data persistence, data reliability, and high availability, and implemented it in the Linux kernel.
References
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