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
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Proceedings ArticleDOI
GreenCassandra: Using renewable energy in distributed structured storage systems
TL;DR: A distributed structured storage system, GreenCassandra, which is representative of a class of important subsystems underlying many interactive cloud services, and can use a heuristic green-energy-aware policy to decrease brown energy consumption and cost by up to 28% and 29%, respectively, compared to a baseline energy- aware policy.
Proceedings ArticleDOI
Rubato DB: A Highly Scalable Staged Grid Database System for OLTP and Big Data Applications
TL;DR: This paper verifies that the formula protocol and the staged grid architecture provide a satisfactory solution to one of the important challenges in the database systems: to develop a highly scalable database management system that supports various consistency levels from ACID to BASE.
Proceedings ArticleDOI
Practical and Fast Causal Consistent Partial Geo-Replication
TL;DR: This paper proposes a novel replication scheme that can offer causal+ consistency in a geo-distributed scenario with partial replication, where datacenters replicate different portions of the entire database.
Proceedings ArticleDOI
Informed Schema Design for Column Store-Based Database Services
TL;DR: This paper proposes a systematic and informed approach to database schema design in NoSQL column stores by means of automated schema generation and application-specific schema ranking.
Journal ArticleDOI
Comparing and Analyzing the Characteristics of Hadoop, Cassandra and Quantcast File Systems for Handling Big Data
Mohd Abdul Ahad,Ranjit Biswas +1 more
TL;DR: An attempt to provide a lucid comparison among three prominent technologies used for handling Big Data, viz.
References
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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.
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Chord: A scalable peer-to-peer lookup service for internet applications
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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.