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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Book ChapterDOI
Big-Data – Theoretical, Engineering and Analytics Perspective
TL;DR: The focus of this tutorial is to explore some of the fundamental trends that led to the Big-Data hype (reality) as well as explain the analytics, engineering and theoretical trends in this space.
Proceedings ArticleDOI
An efficient and compact indexing scheme for large-scale data store
TL;DR: A compact bitmap indexing scheme for a large-scale data store that combines state-of-the-art bitmap compression techniques, such as WAH encoding and bit-sliced encoding, and is implemented on top of the underlying Distributed File System and evaluated on an in-house cluster.
Journal ArticleDOI
Big data analytic architecture for intruder detection in heterogeneous wireless sensor networks
TL;DR: A three layered big data analytic architecture is designed to analyze the data generated during the construction of the barrier and detection of the intruder using camera sensors and average data processing time can be reduced by using parallel servers even if for larger size of data.
Proceedings ArticleDOI
LDC: A Lower-Level Driven Compaction Method to Optimize SSD-Oriented Key-Value Stores
TL;DR: A novel Lower-level Driven Compaction (LDC) method is proposed, which breaks the limitations of the traditional upper-level driven compaction manner and triggers practical compaction actions by lower-level data and has the benefits of both decreasing the compaction granularity effectively for smaller tail latency and reducing the write amplification of LSM-tree compaction for higher throughput.
Proceedings Article
Towards a leaner geo-distributed cloud infrastructure
TL;DR: This work describes open research challenges in designing software that efficiently uses cloud capacity and discusses several factors that influence geo-distributed capacity provisioning, and quantify latency, availability, and capacity trade-offs that emerge.
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.