A Storage Model of Equipment Data Based on HBase

2015 ◽  
Vol 713-715 ◽  
pp. 2418-2422
Author(s):  
Lei Rao ◽  
Fan De Yang ◽  
Xin Ming Li ◽  
Dong Liu
Keyword(s):  
Data Management ◽  
Data Model ◽  
File System ◽  
File Systems ◽  
Database Systems ◽  
Labor Management ◽  
Storage Model ◽  
Reading And Writing ◽  
Writing Processes ◽  
Three Stages

Data management has experienced three stages: labor management, file systems, and database systems. In this paper, manage equipment data using a combination of HDFS file system and HBase database: the principles of HBase data management is studied; equipment data’s reading and writing processes is established; data model of equipment database is designed based on HBase.

FOXpath - an expression language for selecting files and folders

2016 ◽  
Author(s):  
Hans-Jürgen Rennau
Keyword(s):  
Data Model ◽  
File System ◽  
File Systems ◽  
Second Step ◽  
Path Expression ◽  
Reference Implementation ◽  
Single Path

A new expression language (FOXpath, short for folder XPath) enables XPath-like addressing of files and folders in a file system. The first version of the language is a modified copy of XPath 3.0, with node navigation removed and file system navigation added. The language is based on the data model XDM 3.0, without assuming any modifications of the model. In a second step, the language was merged back into XPath 3.0, resulting in FOXpath 3.0, which is a superset of XPath 3.0. The new expression language supports node navigation, file system navigation and a free combination of both functionalities within a single path expression. A reference implementation is described, and the possibility of extending the new functionality beyond file systems is discussed.

A New File Updating Discovery Algorithm Supporting Semantic Synchronization

2012 ◽  
Vol 263-266 ◽  
pp. 1979-1986
Author(s):  
Qiang Li ◽  
Li Gu Zhu ◽  
Sai Feng Zeng
Keyword(s):  
File System ◽  
File Systems ◽  
Data Synchronization ◽  
Basic Features ◽  
Short Time

Updates discovery is the key problem of data synchronization; it has been used to generate updates operations. The traditional algorithms ignore the modify semanteme, cause the updates operations increased. A new file updating discovery algorithm that supports semantic synchronization is proposed in this paper. The algorithm takes advantage of semantic info, which preserved in file system journal, to accurately recognize users originally modify intents. We take the NTFS file system as an example to realize and test the new algorithm. By comparison, the algorithm effectively reduces synchronization requests. Experiments show that, the algorithm cans timely respond to users’ modification and support massive file changes that occurred in short time. The algorithm is designed based on the basic features of file system journal, and can be applied to other file systems.

Octopus + : An RDMA-Enabled Distributed Persistent Memory File System

2021 ◽  
Vol 17 (3) ◽  
pp. 1-25
Author(s):  
Bohong Zhu ◽  
Youmin Chen ◽  
Qing Wang ◽  
Youyou Lu ◽  
Jiwu Shu
Keyword(s):  
High Speed ◽  
High Performance ◽  
File System ◽  
Direct Memory Access ◽  
File Systems ◽  
Distributed File Systems ◽  
Persistent Memory ◽  
Memory Modules ◽  
Non Volatile Memory ◽  
Volatile Memory

Non-volatile memory and remote direct memory access (RDMA) provide extremely high performance in storage and network hardware. However, existing distributed file systems strictly isolate file system and network layers, and the heavy layered software designs leave high-speed hardware under-exploited. In this article, we propose an RDMA-enabled distributed persistent memory file system, Octopus + , to redesign file system internal mechanisms by closely coupling non-volatile memory and RDMA features. For data operations, Octopus + directly accesses a shared persistent memory pool to reduce memory copying overhead, and actively fetches and pushes data all in clients to rebalance the load between the server and network. For metadata operations, Octopus + introduces self-identified remote procedure calls for immediate notification between file systems and networking, and an efficient distributed transaction mechanism for consistency. Octopus + is enabled with replication feature to provide better availability. Evaluations on Intel Optane DC Persistent Memory Modules show that Octopus + achieves nearly the raw bandwidth for large I/Os and orders of magnitude better performance than existing distributed file systems.

scholarly journals Incidences of Root Microcracks Caused by Hand and Rotary File System at Different Lengths

2019 ◽  
Vol 3 (9) ◽  
pp. 283-289
Author(s):  
Shuchi Sukul ◽  
Goldy Rathee ◽  
Parimal Anand ◽  
Sakshi Kataria ◽  
Pratibha Taneja
Keyword(s):  
File System ◽  
Statistical Significance ◽  
File Systems ◽  
In Vitro Study ◽  
Root Surface ◽  
P Value ◽  
Chi Square ◽  
Chi Square Test ◽  
Group B

OBJECTIVES: The present research was conducted to assess incidences of root microcracks caused by hand and rotary file system at different lengths MATERIAL AND METHODS: This in-vitro study was undertaken to assess incidence of root microcracks caused by hand and rotary file system at different lengths In total, 100 the mandibular premolar with straight roots determined with intact, fully formed apices were taken. Samples were randomly distributed into 5 groups based on the file system used: a) Group A: Control, b) Group B: Reciproc, c) Group C: WaveOne, d) Group D: One Shape and e) Group E: ProTaper. Pearson Chi-square test was used to determine the differences between groups. The dentinal defects were expressed as percentage of samples with microcracks in each group. Level of statistical significance was set at p-value less than 0.05. RESULTS: The chi square test was used to compare the Distribution of the number of teeth in which cracks were observed on the horizontal sections. It was found to be significant with group ProTaper showing maximum cracks at 3,6,9 mm level as compared to other file systemCONCLUSION: Nickel-titanium instruments causes cracks on the apical root surface or in the root canal wall. ProTaper causes maximum dentinal cracks as compared to other file systems

Database Theory Column Report on PODS 2021

2021 ◽  
Vol 52 (3) ◽  
pp. 69-72
Author(s):  
Reinhard Pichler
Keyword(s):  
Data Management ◽  
Database Systems ◽  
International Community ◽  
Management Systems ◽  
Hybrid Mode ◽  
Data Management Systems ◽  
International Conference ◽  
Database Theory ◽  
On Line ◽  
Oriented Research

The 40th edition of the ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS) was held from June 20 to June 25, 2021, in Xi'an, Shaanxi, China. Due to the COVID-19 pandemic, it was organized in hybrid mode, with a local event primarily targeting the Chinese data management community and as a virtual (on- line) conference for the international community. As in previous years, the symposium was held jointly with the ACM International Conference on Management of Data (SIGMOD). PODS focuses on theoretical aspects of data management systems, and the co-location with SIGMOD stimulates interaction between theory-oriented and system-oriented research.

Mobile Technologies and Web 2.0

2017 ◽  
pp. 1617-1632
Author(s):  
Peggy Semingson
Keyword(s):  
Web 2.0 ◽  
Social Networking ◽  
Literacy Practices ◽  
New Literacies ◽  
Mobile Technologies ◽  
Reading And Writing ◽  
Writing Processes ◽  
Key Concepts ◽  
Prerequisite Skills ◽  
Collaborative Literacy

This chapter explores changing definitions of literacy that build on the key concepts of New Literacies and existing Web 2.0 practices such as blogging, social networking, and other shared and collaborative media spaces (Davies & Merchant, 2009). The chapter also describes concrete examples of mobile-based literacy ideas that build on such a framework. The focus on teacher education, and literacy education in particular, examines and considers new definitions of literacy practices with connections to mobile technologies. Although mobile technologies offer possibilities for multi-modal and collaborative literacy practices, it is suggested that we should also stay grounded in some of the principles of print literacies (the prerequisite skills of the reading and writing processes), while also fostering Web 2.0 and New Literacies (as defined and discussed by Lankshear & Knobel, 2003, 2006). Specific examples of Web 2.0 technologies that can be implemented with mobile tools are shared and discussed.

High Performance Storage for Big Data Analytics and Visualization

2018 ◽  
pp. 254-275
Author(s):  
Armando Fandango ◽  
William Rivera
Keyword(s):  
Big Data ◽  
High Speed ◽  
High Performance ◽  
File System ◽  
Predictive Analytics ◽  
Big Data Analytics ◽  
File Systems ◽  
Distributed Applications ◽  
System Level ◽  
File Formats

Scientific Big Data being gathered at exascale needs to be stored, retrieved and manipulated. The storage stack for scientific Big Data includes a file system at the system level for physical organization of the data, and a file format and input/output (I/O) system at the application level for logical organization of the data; both of them of high-performance variety for exascale. The high-performance file system is designed with concurrent access, high-speed transmission and fault tolerance characteristics. High-performance file formats and I/O are designed to allow parallel and distributed applications with easy and fast access to Big Data. These specialized file formats make it easier to store and access Big Data for scientific visualization and predictive analytics. This chapter provides a brief review of the characteristics of high-performance file systems such as Lustre and GPFS, and high-performance file formats such as HDF5, NetCDF, MPI-IO, and HDFS.

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