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
Héron: Taming Tail Latencies in Key-Value Stores Under Heterogeneous Workloads
TL;DR: Héron is proposed, a replica selection algorithm that supports workloads with heterogeneous request execution times and outperforms state-of-the-art algorithms by reducing both median and tail latency by up to 41%.
Journal ArticleDOI
Morton filters: fast, compressed sparse cuckoo filters
TL;DR: This work introduces the Morton filter (MF), a novel CF variant that introduces several key improvements to its progenitor, and achieves improvements by introducing a compressed block format that permits storing a logically sparse filter compactly in memory.
Proceedings ArticleDOI
Is elasticity of scalable databases a Myth
TL;DR: The numbers show that the three database systems have dramatically different baselines with respect to both metrics and also behave unexpected when scaling out, showing that not all tested NoSQL databases do scale as expected and even worse, in some cases scaling harms performances.
Proceedings ArticleDOI
Adaptive performance isolation middleware for multi-tenant SaaS
Stefan Walraven,Wouter De Borger,Bart Vanbrabant,Bert Lagaisse,Dimitri Van Landuyt,Wouter Joosen +5 more
TL;DR: An adaptive middleware that can manage a combination of performance constraints in terms of latency, throughput and deadlines at a fine-grained level, and enables rapid response on changing circumstances, while preserving the resource usage efficiency of application-level multi-tenancy is presented.
Patent
Reconciling volumelets in volume cohorts
TL;DR: In this article, the authors propose a method to reconcile the nodes in an object-redundant storage system that uses replication and/or a redundant encoding technique, where common object lists are generated on each node for at least one other node from the metadata, hashes of the lists may be exchanged among the nodes, and the hashes are compared.
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.