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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Book ChapterDOI
A Framework to Benchmark NoSQL Data Stores for Large-Scale Model Persistence
Seyyed M. Shah,Ran Wei,Dimitrios S. Kolovos,Louis M. Rose,Richard F. Paige,Konstantinos Barmpis +5 more
TL;DR: A framework and methodology to benchmark NoSQL stores for large scale model persistence is presented and the results give tool engineers and practitioners a basis for selecting a store to persist large models.
Proceedings ArticleDOI
Dark packets and the end of network scaling
TL;DR: The impact of the dark packet phenomenon is measured and CacheBuilder, an API to carve out bespoke hardware caches from existing ones through simple user level APIs is proposed, which allows for explicit control over processor cache memory and cache-to-main memory copies by creating application-specific caches that result in higher overall performance and reduce dark packets.
Proceedings ArticleDOI
Elastic and effective spatio-temporal query processing scheme on Hadoop
TL;DR: A novel spatio-temporal querying scheme to provide efficient query processing over big geospatial data, and designs an indexing plus MapReduce query processing architecture to improve data retrieval efficiency and query computation efficiency.
Proceedings ArticleDOI
Scalable distributed transactions across heterogeneous stores
Akon Dey,Alan Fekete,Uwe Röhm +2 more
TL;DR: This work proposes an approach that enables multi-item transactions with snapshot isolation across multiple heterogeneous data stores using only a minimal set of commonly implemented features such as single item consistency, conditional updates, and the ability to store additional meta-data.
Proceedings ArticleDOI
Score Look-Alike Audiences
TL;DR: Three scoring models are presented and it is shown that, through empirical evaluation using real-world, large-scale data, by incorporating the potential value of a user to an advertiser into the authors' scoring model, this can significantly improve the performance of the look-alike models over methods which only use pairwise similarities of users.
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.