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 Case for Epidemic Fault Detection and Group Membership in HPC Storage Systems
Shane Snyder,Philip Carns,Jonathan Jenkins,Kevin Harms,Robert Ross,Misbah Mubarak,Christopher D. Carothers +6 more
TL;DR: The first responsibility of a successful fault response strategy is to detect failures and maintain an accurate view of group membership, and trade-offs must be made to account for the competing goals of fault detection efficiency and accuracy.
Mining big data streams for multiple concepts
TL;DR: In this article, the authors present a series of applications for the application of bioinformatics applications in the field of artificial intelligence.and their applications are presented.and Applications Chapter
Dissertation
Data Modeling with NoSQL: How, When and Why
TL;DR: This study provides a simple methodology for modeling data in a non-relational database, as well as a set of common design patterns for solving problems of data persistence using these technologies.
Proceedings ArticleDOI
Slicing as a Distributed Systems Primitive
TL;DR: This paper proposes a slicing protocol, that builds on existing solutions, and addresses some of their frailties, and presents novel solutions to deal with non-uniform slices and to perform online and dynamic slices schema reconfiguration.
Book ChapterDOI
BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads
TL;DR: In this paper, a multi-tenant benchmark suite BigDataBench-MT is proposed to generate a mix of actual service and data analysis workloads on the basis of real workload traces.
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.