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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Smart Cities Software from the developer's point of view
TL;DR: The goal is to analyze the current proposals from the developer's point of view, highlight the really new elements, the positions borrowed from the existing tools as well as propose some new extensions.
Proceedings ArticleDOI
A framework for high performance simulation of transactional data grid platforms
Pierangelo Di Sanzo,Francesco Antonacci,Bruno Ciciani,Roberto Palmieri,Alessandro Pellegrini,Sebastiano Peluso,Francesco Quaglia,Diego Rughetti,Roberto Vitali +8 more
TL;DR: A framework for high performance simulation of in-memory data grid systems, which can be employed as a support for timely what-if analysis and exploration of the effects of reconfiguration strategies, and shows extreme scalability of the framework, in terms of speedup and ability to manage extremely large data grid models.
Journal ArticleDOI
Structured Allocation-Based Consistent Hashing With Improved Balancing for Cloud Infrastructure
TL;DR: In this paper, a cloud-optimized consistent hashing algorithm that overcomes the trade-offs by taking advantage of the characteristics of cloud environments: scaling management and auto-healing.
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A Taxonomy on Big Data: Survey
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Proceedings ArticleDOI
DATAFLASKS: Epidemic Store for Massive Scale Systems
TL;DR: This paper proposes a novel data store solely based on epidemic (or gossip-based) protocols that leverages the capacity of these protocols to provide data persistence guarantees even in highly dynamic, massive scale systems.
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.