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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Journal ArticleDOI
High throughput computing over peer-to-peer networks
TL;DR: This work presents a proposal to build a high throughput computing system totally based upon the Peer-to-Peer (P2P) paradigm, and proposes to implement a queue system over a P2P storage system.
Dissertation
Partition Tolerance and Data Consistency in Structured Overlay Networks
TL;DR: This thesis discusses mechanisms for detecting a network partition and merger, and provides algorithms for merging multiple ring-based overlays, and presents a decentralized algorithm for estimating the number of nodes in a peer-to-peer system.
Proceedings ArticleDOI
The Power and Challenges of Transformative I/O
TL;DR: This paper demonstrates that Tran formative middleware is applicable across a large set of high performance computing workloads and is portable across the three major parallel file systems in use today.
Proceedings ArticleDOI
OpenADN: A Case for Open Application Delivery Networking
TL;DR: Although these requirements seem separate, they can be converged into a single abstraction for supporting application delivery in the cloud context, a sample design of this abstraction is OpenADN, presented here.
Journal ArticleDOI
Koord: a language for programming and verifying distributed robotics application
TL;DR: Koord is presented—a domain specific language for distributed robotics—which abstracts platform-specific functions for sensing, communication, and low-level control and raises the level of abstraction in programming by providing distributed shared memory for coordination and port interfaces for sensing and control.
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.