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
Journal ArticleDOI
Scalable service-oriented replication with flexible consistency guarantee in the cloud
TL;DR: A Scalable Service Oriented Replication (SSOR) solution, a middleware capable of satisfying applications' consistency requirements when replicating cloud-based services, and introduces new formalism for describing services in service-oriented replication, including the notion of consistency regions and relevant service oriented requirements policies.
Book ChapterDOI
Scalable and Accurate Causality Tracking for Eventually Consistent Stores
TL;DR: A new logical clock mechanism and a logical clock framework are proposed that together support a traditional key-value store API, while capturing causality in an accurate and scalable way, avoiding false conflicts.
Proceedings ArticleDOI
Memory-efficient groupby-aggregate using compressed buffer trees
Hrishikesh Amur,Wolfgang Richter,David G. Andersen,Michael Kaminsky,Karsten Schwan,Athula Balachandran,Erik Zawadzki +6 more
TL;DR: A new compressed data structure called a Compressed Buffer Tree (CBT) is introduced, using a combination of techniques including buffering, compression, and serialization, to improve the memory efficiency and performance of the GroupBy-Aggregate abstraction that forms the basis of not only batch-processing models like MapReduce, but recent fast analytics systems too.
Journal ArticleDOI
ClouDiA: a deployment advisor for public clouds
TL;DR: ClouDiA is proposed, a general deployment advisor that selects application node deployments minimizing either (i) the largest latency between application nodes, or (ii) the longest critical path among all application nodes.
Book ChapterDOI
Towards an Extensible Middleware for Database Benchmarking
TL;DR: Today’s database benchmarks are designed to evaluate a particular type of database, and there is no single framework that can be used to compare arbitrary database systems.
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.