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
Data Storage Management in Cloud Environments: Taxonomy, Survey, and Future Directions
TL;DR: This article provides a comprehensive taxonomy that covers key aspects of cloud-based data store: data model, data dispersion, data consistency, data transaction service, and data management cost.
Proceedings ArticleDOI
BloomStore: Bloom-Filter based memory-efficient key-value store for indexing of data deduplication on flash
TL;DR: This paper proposes efficient KV store on flash with a Bloom Filter based index structure called BloomStore, which achieves a significantly better key lookup performance and roughly the same insertion performance with multiple times less RAM usage based on experiments with deduplication workloads.
Journal ArticleDOI
SCARFF: a Scalable Framework for Streaming Credit Card Fraud Detection with Spark
Fabrizio Carcillo,Andrea Dal Pozzolo,Yann-Aël Le Borgne,Olivier Caelen,Yannis Mazzer,Gianluca Bontempi +5 more
TL;DR: In this paper, the authors present a Scalable Real-time Fraud Finder (SCARFF) which integrates Big Data tools (Kafka, Spark and Cassandra) with a machine learning approach which deals with imbalance, nonstationarity and feedback latency.
Proceedings ArticleDOI
YCSB+T: Benchmarking web-scale transactional databases
TL;DR: YCSB+T is described, an extension of YCSB, that wraps database operations within transactions that wraps transaction support in NoSQL databases, and the experience with using CEW to evaluate some NoSQL systems is shared.
Proceedings ArticleDOI
Implementing linearizability at large scale and low latency
TL;DR: RIFL provides a general-purpose mechanism for converting at-least-once RPC semantics to exactly-once semantics, thereby making it easy to turn non-linearizable operations into linearizable ones and is designed for large-scale systems and is lightweight enough to be used in low-latency environments.
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.