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
ForestDB: A Fast Key-Value Storage System for Variable-Length String Keys
TL;DR: ForestDB is presented, a key-value storage engine for a single node of large-scale NoSQL databases that allows for efficient indexing and retrieval of arbitrary length string keys with relatively low disk accesses over tree-like structures, even though the keys are very long and randomly distributed in the key space.
Proceedings ArticleDOI
Performance Sensitive Replication in Geo-distributed Cloud Datastores
TL;DR: This paper presents models that optimize percentiles of response time under normal operation and under a data-center (DC) failure in quorum-based cloud storage systems, and evaluates their models using real-world traces of Twitter, Wikipedia and Go Walla on a Cassandra cluster deployed in Amazon EC2.
Proceedings ArticleDOI
ZipG: A Memory-efficient Graph Store for Interactive Queries
TL;DR: On a single server with 244GB memory, ZipG executes tens of thousands of queries from these workloads for raw graph data over half a TB, which leads to an order of magnitude (sometimes as much as 23×) higher throughput than Neo4j and Titan.
Proceedings ArticleDOI
Wide area placement of data replicas for fast and highly available data access
TL;DR: This paper demonstrates, based on an evaluation study, the effectiveness of the developed technique and concludes with plans for future research.
Journal ArticleDOI
Survey of Large-Scale Data Management Systems for Big Data Applications
TL;DR: This survey investigates, characterize, and analyze the large-scale data management systems in depth and develops comprehensive taxonomies for various critical aspects covering the data model, the system architecture, and the consistency model.
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.