Journal ArticleDOI
Cassandra: a decentralized structured storage system
Avinash Lakshman,Prashant Malik +1 more
TLDR
Cassandra is a distributed storage system for managing very large amounts of structured data spread out across many commodity servers, while providing highly available service with no single point of failure.Abstract:
Cassandra is a distributed storage system for managing very large amounts of structured data spread out across many commodity servers, while providing highly available service with no single point of failure. Cassandra aims to run on top of an infrastructure of hundreds of nodes (possibly spread across different data centers). At this scale, small and large components fail continuously. The way Cassandra manages the persistent state in the face of these failures drives the reliability and scalability of the software systems relying on this service. While in many ways Cassandra resembles a database and shares many design and implementation strategies therewith, Cassandra does not support a full relational data model; instead, it provides clients with a simple data model that supports dynamic control over data layout and format. Cassandra system was designed to run on cheap commodity hardware and handle high write throughput while not sacrificing read efficiency.read more
Citations
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Journal ArticleDOI
On Data Placement in Distributed Systems
João Paiva,Luís Rodrigues +1 more
TL;DR: This document reports on the experience when addressing data placement in distributed systems of different scales, namely: medium size datacenter-scale and internet-scale systems.
Proceedings ArticleDOI
Týr: blob storage meets built-in transactions
TL;DR: Týr is introduced, the first blob storage system to provide built-in, multiblob transactions, while retaining sequential consistency and high throughput under heavy access concurrency.
Posted Content
Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs.
TL;DR: Associative arrays reduce the effort required to pass data between steps in a data processing system, allow steps to be interchanged with full confidence that the results will be unchanged, and make it possible to recognize when steps can be simplified or eliminated.
Book ChapterDOI
Maturity Model for Liquid Web Architectures
TL;DR: The goal of the maturity model described in this paper is to understand, control and describe how Web applications following the liquid user experience paradigm are designed and also provide Web developers with a gradual adoption path to evolve existing Web applications.
Journal ArticleDOI
Zing Database: high-performance key-value store for large-scale storage service
TL;DR: ZDB architecture optimizes the index of key-value store for auto-incremental integer keys which can be applied in storing many real-life data efficiently with minimize memory overhead and reduce the complexity for partitioning data.
References
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Journal ArticleDOI
MapReduce: simplified data processing on large clusters
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: This paper presents the implementation of MapReduce, a programming model and an associated implementation for processing and generating large data sets that runs on a large cluster of commodity machines and is highly scalable.
Journal ArticleDOI
MapReduce: simplified data processing on large clusters
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: This presentation explains how the underlying runtime system automatically parallelizes the computation across large-scale clusters of machines, handles machine failures, and schedules inter-machine communication to make efficient use of the network and disks.
Proceedings ArticleDOI
Chord: A scalable peer-to-peer lookup service for internet applications
TL;DR: Results from theoretical analysis, simulations, and experiments show that Chord is scalable, with communication cost and the state maintained by each node scaling logarithmically with the number of Chord nodes.
Journal ArticleDOI
The Google file system
TL;DR: This paper presents file system interface extensions designed to support distributed applications, discusses many aspects of the design, and reports measurements from both micro-benchmarks and real world use.
Proceedings Article
Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!).
Fay W. Chang,Jeffrey Dean,Sanjay Ghemawat,Wilson C. Hsieh,Deborah A. Wallach,Michael Burrows,Tushar Deepak Chandra,Andrew Fikes,Robert Gruber +8 more
TL;DR: Bigtable as mentioned in this paper is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers, including web indexing, Google Earth and Google Finance.