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Journal ArticleDOI

Cassandra: a decentralized structured storage system

Avinash Lakshman, +1 more
- 14 Apr 2010 - 
- Vol. 44, Iss: 2, pp 35-40
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.

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Citations
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PREFAIL: a programmable tool for multiple-failure injection

TL;DR: PreFail is presented, a programmable failure-injection tool that enables testers to write a wide range of policies to prune down the large space of multiple failures and finds all the bugs that one can find using exhaustive testing while spending 10X--200X less time than exhaustive testing.
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BetrFS: a right-optimized write-optimized file system

TL;DR: The Be-tree File System, or BetrFS, (pronounced "better eff ess") is the first in-kernel file system to use a write-optimized index, and requires additional data-structure tuning to match current general-purpose file systems on some operations such as deleting, directory renames, and large sequential writes.
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SLM-DB: Single-Level Key-Value Store with Persistent Memory

TL;DR: This paper presents a novel KV store, the Single-Level Merge DB (SLM-DB), which takes advantage of both the B+-tree index and the Log-Structured Merge Trees (LSM-tree) approach by making the best use of fast persistent memory.
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BlobCR: efficient checkpoint-restart for HPC applications on IaaS clouds using virtual disk image snapshots

TL;DR: This paper introduces an approach that leverages virtual machine (VM) disk-image multi-snapshotting and multi-deployment inside checkpoint-restart protocols running at guest level in order to efficiently capture and potentially roll back the complete state of the application, including file system modifications.
Journal ArticleDOI

The big data system, components, tools, and technologies: a survey

TL;DR: This paper aims to present a generalized view of complete big data system which includes several stages and key components of each stage in processing the big data, and systematically investigates big data tools and technologies including distributed/cloud-based stream processing tools in a comparative approach.
References
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Journal ArticleDOI

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Proceedings ArticleDOI

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Journal ArticleDOI

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Proceedings Article

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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.
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