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 correlation-aware data placement strategy for key-value stores
Proceedings ArticleDOI
Multi-tenant fair share in NoSQL data stores
Jiaan Zeng,Beth Plale +1 more
TL;DR: This work proposes a methodology for multi-tenant fair share in a NoSQL store, in particular Cassandra, that uses an extended version of the deficit round robin algorithm to schedule tenant requests, and has local weight adjustment and slow tenant handling to improve the system throughput.
Proceedings ArticleDOI
Parallel bulk insertion for large-scale analytics applications
TL;DR: This work identifies bulk data insert operations as a critical preliminary step to achieve reduced processing times, especially when new data is generated and processed at regular time intervals and presents a parallel approach to bulk insertion in a system that use horizontally range partitioned data.
Proceedings ArticleDOI
Cloud computing - An emerging trend in information technology
Suneel Wattal,Ajay Kumar +1 more
TL;DR: The concept of cloud computing is based on the time-sharing of costly resources and advantages of the economies of scale as mentioned in this paper, which is a result of exploring ways and means to ensure availability of computing power to users through sharing of resources and algorithms to optimize the usage of infrastructure, platform and applications.
Posted Content
Seer: Empowering Software Defined Networking with Data Analytics
TL;DR: Seer as mentioned in this paper is a flexible, highly configurable data analytics platform for network intelligence based on software defined networking and big data principles, which combines a computational engine with a distributed messaging system to provide a scalable, fault tolerant and real-time platform for knowledge extraction.
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
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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.