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
More filters
Proceedings ArticleDOI
Improving Write Performance of LSMT-Based Key-Value Store
TL;DR: A grouped level structure is proposed, which divides each level in LSMT into multiple groups, which improves the write throughput by 69% to 284%, but only reduces the read throughput by 5% to 9%.
Proceedings Article
Hybrid Data Reliability for Emerging Key-Value Storage Devices
Rekha Pitchumani,Yang-Suk Kee +1 more
TL;DR: Key-Value Multi-Device (KVMD) is presented, a hybrid data reliability manager that employs a variety of reliability techniques with different trade-offs, for key-value devices and shows that, compared to Linux mdadm-based RAID throughput degradation for block devices, data reliability for KV devices can be achieved at a comparable or lower throughput degradation.
Journal ArticleDOI
HDCache: A Distributed Cache System for Real-Time Cloud Services
Jing Zhang,Qianmu Li,Wei Zhou +2 more
TL;DR: Experimental results show that HDCache can store files with a wide range in their sizes and has the access performance in a millisecond level under highly concurrent environments.
Book ChapterDOI
Multiparty Testing Preorders
Rocco De Nicola,Hernán Melgratti +1 more
TL;DR: This work proposes two new testing preorders, which are obtained by restricting the set of potential observers and are coarser than the classical must testing preorder and finer than the independent one.
Journal ArticleDOI
The Impact of Virtualization on High Performance Computing Clustering in the Cloud
TL;DR: The authors track HPC performance under different Cloud virtualization platforms, namely KVM and VMware-ESXi, and compare it against physical clusters and prove that the selection of virtualization technology can lead to significant improvements when handling HPCaaS.
References
More filters
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.