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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Proceedings ArticleDOI
GraphMeta: A Graph-Based Engine for Managing Large-Scale HPC Rich Metadata
TL;DR: This study first identifies the challenges presented by the underlying infrastructure in supporting scalable, high-performance rich metadata management, and presents GraphMeta, a graph-based engine designed for managing large-scale rich metadata.
Journal ArticleDOI
Management of Data Replication for PC Cluster-based Cloud Storage System
Julia Myint,Thinn Thu Naing +1 more
TL;DR: In this paper, a PC cluster based cloud storage system is implemented with HDFS by enhancing replication management scheme, which provides optimum replica number as well as weighting and balancing among the storage server nodes.
Proceedings ArticleDOI
Lustre, Hadoop, Accumulo
Jeremy Kepner,William Arcand,David Bestor,Bill Bergeron,Chansup Byun,Lauren Edwards,Vijay Gadepally,Matthew Hubbell,Peter Michaleas,Julie Mullen,Andrew Prout,Antonio Rosa,Charles Yee,Albert Reuther +13 more
TL;DR: Comparisons indicate that Lustre provides 2x more storage capacity, is less likely to loose data during 3 simultaneous drive failures, and provides higher bandwidth on general purpose workloads than Hadoop, which can provide 4x greater read bandwidth on special Purpose workloads.
Posted Content
Consistency in Non-Transactional Distributed Storage Systems
Paolo Viotti,Marko Vukolic +1 more
TL;DR: In this paper, the authors provide a structured and comprehensive overview of different consistency notions that appeared in distributed systems, and in particular storage systems research, in the last four decades, and map the consistency semantics to different practical systems and research prototypes.
Benchmarking interactive social networking actions
TL;DR: This dissertation investigates the viability of a benchmark for interactive social networking actions named BG and demonstrates use of BG in two contexts, to rate an industrial strength relational database management system and a document store, quantifying their performance tradeoffs.
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.