scispace - formally typeset
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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Proceedings ArticleDOI

Safe Inspection of Live Virtual Machines

TL;DR: This paper presents CIVIC (Cloning and Injection based VM Inspection for Cloud), a new mechanism that enables safe inspection of unmodified production VMs on-the-fly inside a live clone of the production VM.
Journal ArticleDOI

A formal method for rule analysis and validation in distributed data aggregation service

TL;DR: This paper presents a formal approach to express retrieval and aggregation rules with a compact, yet powerful tool called Rule Markup Language and proves that this method correctly performs the translation between the storage model’s unstructured view of data and the client's structured objects.
Book ChapterDOI

Big Data Storage and Data Models

TL;DR: This chapter is going to investigate and compare the key storage and data models in the spectrum of big data frameworks.
Proceedings ArticleDOI

Quality-of-data for consistency levels in geo-replicated cloud data stores

TL;DR: In this article, the authors propose a set of flexible data semantics that can best suit all types of Big Data applications, avoiding overloading both network and systems during large periods of disconnection or partitions in the network.
Book

A Smart Energy System for Sustainable Buildings: The Case of the Bernoulliborg

Faris Nizamic
TL;DR: In this article, the authors designed and implemented a smart energy management system to reduce unnecessary energy consumption while at the same time maintaining the comfort of those using the buildings, based on the behavior of building users.
References
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Journal ArticleDOI

MapReduce: simplified data processing on large clusters

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

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!).

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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