scholarly journals SOS -- Stan's Own Server: An NFS (Network File System) file server for the IBM PC

1988 ◽  
Author(s):  
See-Mong Tan ◽  
H. Holmes ◽  
C. Eades
Keyword(s):  
File System ◽  
File Server ◽  
Network File System ◽  
System File ◽  
Ibm Pc

Performance Measurement Technique of Cloud Storage System

2013 ◽  
Vol 760-762 ◽  
pp. 1197-1201
Author(s):  
Qin Lu He ◽  
Zhan Huai Li ◽  
Le Xiao Wang ◽  
Hui Feng Wang ◽  
Jian Sun
Keyword(s):  
Cloud Storage ◽  
File System ◽  
Storage System ◽  
File Systems ◽  
Test Methods ◽  
Theory Analysis ◽  
Network File System ◽  
Cloud Storage Environment ◽  
System File ◽  
Reasonable Test

Researches on technologies about testing aggregate bandwidth of file systems in cloud storage systems. Through the memory file system, network file system, parallel file system theory analysis, according to the cloud storage system polymerization bandwidth and concept, developed to cloud storage environment file system polymerization bandwidth test software called FSPoly. In this paper, use FSpoly to luster file system testing, find reasonable test methods, and then evaluations latest development in cloud storage system file system performance by using FSPoly.

scholarly journals Network File System Implementation on Computer-Based Exam

2020 ◽  
Vol 1 (1) ◽  
pp. 20-26
Keyword(s):  
Final Stage ◽  
File System ◽  
System Implementation ◽  
File Server ◽  
Correction Process ◽  
The World ◽  
Network File System ◽  
Computer Based ◽  
The Cost

In the world of education, exam is the final stage to evaluate the student abil-ity. The length of the correction process and the expensive cost of printing for manually exams are obstacles that often occurs when administering the ex-ams. Computer-based exams is an effort that is present to solve the problems, by using a computer, then the cost of printing documents and others can be minimized, besides that there is no need for manually correction time, be-cause when students finished the exam, the student's grades can be immedi-ately known. So many advantages are offered by computer-based exams but of course there are still problems that arise. The most common thing is the slow server in processing requests from clients when accessed together, in-creasing the number of servers using Network File Server is one of the efforts to correct the shortcomings of computer-based exams. Using Network File Server is expected to be able to overcome these problems.

Clustering Server Pada Cloud Computing Berbasis Proxmox VE Menggunakan Metode High Availability

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Linda Apriliana ◽  
Ucuk Darusala Darusalam ◽  
Novi Dian Nathasia
Keyword(s):  
Cloud Computing ◽  
File System ◽  
High Availability ◽  
Client Server ◽  
Network File System

Layanan dan data teknologi Cloud Computing tersimpan pada server, hal ini menjadikan faktor pentingnya server sebagai pendukung ketersediaan layanan. Semakin banyak pengguna yang mengakses layanan tersebut akan mengakibatkan beban kinerja mesin server menjadi lebih berat dan kurang optimal, karena layanan harus bekerja menyediakan data terus-menerus yang dapat diakses kapanpun oleh penggunanya melalui jaringan terkoneksi. Perangkat keras server memiliki masa performa kinerja. Hal serupa dengan perangkat lunak yang dapat mengalami crash. Dengan fungsi server yang memberikan layanan kepada client, server dituntut untuk memiliki tingkat availability yang tinggi. Hal tersebut memungkinkan mesin server mengalami down. Server juga harus dimatikan untuk keperluan pemeliharaan. Penelitian bertujuan ini membangun Clustering Server yang dapat bekerja bersama yang seolah merupakan sistem tunggal diatas lingkungan virtual. Hal ini merupakan solusi untuk mengatasi permasalahan tersebut. Pada penelitian ini penulis menggunakan server virtualisasi proxmox, FreeNAS sebagai server NAS dan DRBD untuk pendukung ketersediaan layanan tinggi dalam lingkup HA, sinkronisasi data dalam High Availability (HA) yang dapat melakukan mirroring sistem kemesin lain. Dengan diterapkannya metode HA dan sinkronasi DRBD serta penggunaan NFS (Network File System) pada sistem cluster didapatkan hasil rata-rata waktu migrasi sebesar 9.7(s) pada node1 menuju node2, 3.7(s) node2 menuju node3, dan 3(s) pada node3 menuju node1. Didaptkan juga waktu downtime yang lebih sedikit yaitu sebesar 0.58 ms pada node1, 0.02 ms pada node2, dan 0.02 ms pada node3.

ZX: A network file system for high-latency networks

2017 ◽  
Vol 48 (3) ◽  
pp. 578-599 ◽  
Author(s):  
Francisco J. Ballesteros ◽  
Gorka Guardiola ◽  
Enrique Soriano
Keyword(s):  
File System ◽  
Network File System

scholarly journals Using the Big Data in the human resources management systems

2018 ◽  
Vol 8 (3) ◽  
pp. 129-133
Author(s):  
Goker Oge ◽  
Murat Topaloglu
Keyword(s):  
Big Data ◽  
Human Resources ◽  
Programming Languages ◽  
File System ◽  
Labour Force ◽  
Human Resources Management ◽  
Data Entry ◽  
Resources Management ◽  
Personnel Recruitment ◽  
System File

Measures like setting a destination, evaluation of performances, planning of the labour force about business, personnel recruitment, charging of personnel, informations about personnel, analytical of labour force and reporting, etc., are considered as vital problems of the human resources management. In this study, these criteria in a variety of data were collected with a large repository Apache Hadoop Distributed File System file system owned. Data entry and analysis were used Apache Pig and Java programming languages. The aim of the study is to help ‘the owners of business’ evaluate the abundance of data and to get rid of the management complexity via an application which is the biggest problem of management system in human resources. Keywords: Big Data, management of human resources, Hadoop, Pig, map-reduce

scholarly journals Network File System (NFS) version 4 Protocol

2003 ◽  
Author(s):  
S. Shepler ◽  
B. Callaghan ◽  
D. Robinson ◽  
R. Thurlow ◽  
C. Beame ◽  
...  
Keyword(s):  
File System ◽  
Network File System

Design of Network File System Cache based on the Distributed Memory

2016 ◽  
Author(s):  
Eun-Ji Lim ◽  
Shin-Young Ahn ◽  
Young-Ho Kim ◽  
Gyu-Il Cha ◽  
Wan Choi
Keyword(s):  
Distributed Memory ◽  
File System ◽  
Network File System
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