• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 11 - 20 of 1,173
Next 10 →

Algorithms and data structures for flash memories

by Eran Gal, Sivan Toledo - ACM Computing Surveys
"... Flash memory is a type of electrically-erasable programmable read-only memory (EEPROM). Because flash memories are nonvolatile and relatively dense, they are now used to store files and other persistent objects in handheld computers, mobile phones, digital cameras, portable music players, and many o ..."
Abstract - Cited by 192 (4 self) - Add to MetaCart
Flash memory is a type of electrically-erasable programmable read-only memory (EEPROM). Because flash memories are nonvolatile and relatively dense, they are now used to store files and other persistent objects in handheld computers, mobile phones, digital cameras, portable music players, and many

NOSQL DATABASES IN SCIENTIFIC APPLICATIONS

by Akademia Górniczo-hutnicza, Bazy Danych Nosql, W Aplikacjach Naukowych, Oświadczenie Autora Pracy, Karnej Za Poświadczenie
"... Today, scientific computations undeniably play very important role in research, engineering and business appli-cations. Their increasing adoption and capabilities are also driven by exponential growth of available computing power and disk storage. Researchers are able to execute very complex simulat ..."
Abstract - Add to MetaCart
simulations and experiments which involve processing petabytes of data using clusters consisting of thousands of machines. Already established solutions for storing and accessing data like relation databases become bottleneck in such situations and create demand for more scalable solutions. In the scope

Scalable semantic web data management using vertical partitioning

by Daniel J. Abadi, Adam Marcus, Barton Data - In VLDB , 2007
"... The dataset used for this benchmark is taken from the publicly available Barton Libraries dataset [1]. This data is provided by the Simile Project [3], which develops tools for library data management and interoperability. The data contains records that compose an RDF-formatted dump of the MIT Libra ..."
Abstract - Cited by 190 (6 self) - Add to MetaCart
Libraries Barton catalog, converted from raw data stored in an old library format standard called MARC (Machine Readable Catalog). Because of the multiple sources the data was derived from and the diverse nature of the data that is cataloged, the structure of the data is quite irregular. At the time

Type of NOSQL Databases and its Comparison with Relational Databases

by Ameya Nayak, Anil Poriya, Dikshay Poojary
"... NOSQL databases (commonly interpreted by developers as „not only SQL databases ‟ and not „no SQL‟) is an emerging alternative to the most widely used relational databases. As the name suggests, it does not completely replace SQL but compliments it in such a way that they can co-exist. In this paper ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
we will be discussing the NOSQL data model, types of NOSQL data stores, characteristics and features of each data store, query languages used in NOSQL, advantages and disadvantages of NOSQL over RDBMS and the future prospects of NOSQL. General terms NOSQL, relational databases, data stores

Research Article Evaluating the Cassandra NoSQL Database Approach for

by Genomic Data Persistency, Maristela Hol, Maria Emilia Walter, Sérgio Lifschitz
"... Copyright © 2015 Rodrigo Aniceto et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Rapid advances in high-throughput sequencing ..."
Abstract - Add to MetaCart
for storing genomic data. We perform an analysis of persistency and I/O operations with real data, using the Cassandra database system. We also compare the results obtained with a classical relational database system and another NoSQL database approach, MongoDB. 1.

Benchmarking and Analysis of NoSQL Technologies

by Suman Kashyap, Shruti Zamwar, Tanvi Bhavsar, Snigdha Singh
"... Abstract — The social web generates terabytes of unstructured, user generated data, spread across thousands of commodity servers. The changed face of web based applications forced to invent new approaches to data management. The NoSQL databases were created as a mean to offer high performance (both ..."
Abstract - Add to MetaCart
in selecting the best suited datastore for their application as each of them place very different demands. The NoSQL databases haven’t been tested for their claims. In this paper we discuss the benchmarking results of the 4 most popular NoSQL technologies namely- Cassandra, HBase, MongoDB and CouchDB. Also we

Integration and Virtualization of Relational SQL and NoSQL Systems

by Including Mysql, Ramon Lawrence
"... Abstract—NoSQL databases are growing in popularity for Big Data applications in web analytics and supporting large web sites due to their high availability and scalability. Since each NoSQL system has its own API and does not typically support standards such as SQL and JDBC, integrating these system ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract—NoSQL databases are growing in popularity for Big Data applications in web analytics and supporting large web sites due to their high availability and scalability. Since each NoSQL system has its own API and does not typically support standards such as SQL and JDBC, integrating

NoVoHT: a Lightweight Dynamic Persistent NoSQL Key/Value Store

by Kevin Br, Tonglin Li, Xiaobing Zhou, Ioan Raicu
"... Abstract—With the increased scale of systems in use and the need to quickly store and retrieve information, key/value stores are becoming an important element in the design of large-scale storage systems. Key/value stores are well known for their simplistic interfaces, persistent nature, and excelle ..."
Abstract - Add to MetaCart
, and excellent operational efficiency – they are also known as NoSQL databases. This paper presents the design and implementation of a non-volatile hash table (NoVoHT). NoVoHT was designed from the ground up to be lightweight, fast, and dependency-free. Our goal was to create a fast persistent key/value store

Leveraging Metadata in NoSQL Storage Systems

by Ala Alkhaldi, Indranil Gupta, Vaijayanth Raghavan, Mainak Ghosh
"... Abstract—NoSQL systems have grown in popularity for storing big data because these systems offer high availability, i.e., operations with high throughput and low latency. However, metadata in these systems are handled today in ad-hoc ways. We present Wasef, a system that treats metadata in a NoSQL d ..."
Abstract - Add to MetaCart
Abstract—NoSQL systems have grown in popularity for storing big data because these systems offer high availability, i.e., operations with high throughput and low latency. However, metadata in these systems are handled today in ad-hoc ways. We present Wasef, a system that treats metadata in a NoSQL

Enabling JSON Document Stores in Relational Systems

by Craig Chasseur, Yinan Li, Jignesh M. Patel
"... In recent years,“document store”NoSQL systems have exploded in popularity, largely driven by the adoption of the JSON data model in Web and mobile applications. The advantages of these NoSQL document store systems (like MongoDB and CouchDB) are tempered by a lack of traditional RDBMS features, notab ..."
Abstract - Cited by 7 (2 self) - Add to MetaCart
In recent years,“document store”NoSQL systems have exploded in popularity, largely driven by the adoption of the JSON data model in Web and mobile applications. The advantages of these NoSQL document store systems (like MongoDB and CouchDB) are tempered by a lack of traditional RDBMS features
Next 10 →
Results 11 - 20 of 1,173
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University