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
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Proceedings ArticleDOI
A Middleware Guaranteeing Client-Centric Consistency on Top of Eventually Consistent Datastores
TL;DR: This work presents an approach that guarantees monotonic read consistency and read your writes consistency by running a special middleware component on the same server as the application.
Posted Content
Extending Eventually Consistent Cloud Databases for Enforcing Numeric Invariants
Valter Balegas,Diogo Serra,Sérgio Duarte,Carla Ferreira,Rodrigo Rodrigues,Nuno Preguiça,Marc Shapiro,Mahsa Najafzadeh +7 more
TL;DR: In this paper, the authors present a new replicated data type, called bounded counter, which adds support for numeric invariants to eventually consistent geo-replicated databases, and describe how this can be implemented on top of existing cloud stores without modifying them.
Proceedings ArticleDOI
ElastMan: autonomic elasticity manager for cloud-based key-value stores
TL;DR: This work presents the design and evaluation of ElastMan, an elasticity controller for Cloud-based elastic key-value stores that combines feedforward and feedback control and demonstrates the feasibility and effectiveness of the approach to automation of Cloud service elasticity.
Journal ArticleDOI
Building an Efficient Put-Intensive Key-Value Store with Skip-Tree
TL;DR: This paper designs and implements one high performance key-value store, named SkipStore, based on Skip-tree, and develops adaptive and reliable KV item movements among components that can effectively reduce the write amplification and thus improve the system throughput.
Journal ArticleDOI
CycloidGrid: A proximity-aware P2P-based resource discovery architecture in volunteer computing systems
TL;DR: A proximity-aware resource discovery architecture for peer-to-peer based volunteer computing systems that improves the response time of user's requests by a factor of 4.04 under a moderate load.
References
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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.