DTAR: Deduplication TAR Scheme for Data Backup System

2011 ◽  
pp. 292-300
Author(s):  
Sung Woon Kang ◽  
Ho Min Jung ◽  
Jung Geun Lee ◽  
Jin Haeng Cho ◽  
Young Woong Ko
Keyword(s):  
Data Backup ◽  
Backup System

scholarly journals Determination of Data Backup System Fault Tolerance

2019 ◽  
pp. 64-78
Author(s):  
A.M. Patutina ◽  
I.V. Rudakov
Keyword(s):  
Fault Tolerance ◽  
Data Storage ◽  
Markov Processes ◽  
Queuing Theory ◽  
Storage System ◽  
Data Backup ◽  
Backup System ◽  
Analytical Simulation ◽  
Storage Technologies ◽  
Semi Markov Processes

The paper considers the method of researching the fault tolerance of the backup system based on semi-Markov processes, and presents a quick overview of calculation methods for dynamic and static models of reliability analysis. The research shows that implementations based on semi-Markov processes have practically no limitations on building failure, recovery and backup models, and also provide the most accurate results. We described the existing storage technologies. By mixed, i.e., analytical-simulation, modeling, we implemented the data backup model. The simulation part, which determines the fault tolerance of switches and servers, is presented in terms of queuing theory, and the analytical part suggests defining fault tolerance for a data storage system based on semi-Markov processes.

Incremental local data backup system based on bacula

2018 ◽  
Author(s):  
Yang Chao ◽  
Xu Wen ◽  
Wu Guohui ◽  
Qi Xinge ◽  
Liu Sai ◽  
...  
Keyword(s):  
Local Data ◽  
Data Backup ◽  
Backup System

scholarly journals Short-term forecasting models for automated data backup system: segmented regression analysis

2020 ◽  
Vol 42 ◽  
pp. e46073
Author(s):  
Leandro Duarte Pereira ◽  
Pedro Paulo Balestrassi ◽  
Vinicius de Carvalho Paes ◽  
Anderson Paulo de Paiva ◽  
Rogério Santana Peruchi ◽  
...  
Keyword(s):  
Linear Regression ◽  
Control Charts ◽  
Business Success ◽  
Short Term ◽  
Data Backup ◽  
Backup System ◽  
Logical Sequence ◽  
Forecast Models ◽  
Short Term Forecasting ◽  
Object Of Study

The Information and Communication Technology (ICT) becomes a critical area to business success; organizations need to adopt additional measures to ensure the availability of their services. However, such services are often not planned, analyzed and monitored, which impacts the assurance quality to customers. The backup is the service addressed in this study, with the object of study of the automated data backup systems in operation at the Federal University of Itajuba - Brazil. The main objective of this research was to present a logical sequence of steps to obtain short-term forecast models that estimate the point at which each recording media reaches its storage capacity limit. The input data was collected in the metadata generated by the backup system, with 2 years data window. For the implementation of the models, the simple univariate linear regression technique was employed in conjunction, in some cases, with the simple segmented linear regression. In order to discover the breakpoint, a targeted approach to residual analysis was applied. The results obtained by the iterative implementation of the proposed algorithm showed adherence to the characteristics of the analyzed series, with accuracy measures, regression significance, normality residual through control charts, model adjustment, among others. As a result, an algorithm was developed for integration into automated backup systems using the methodology described in this study.

Analisis Forensik Smartphone Android Menggunakan Metode NIST dan Tool MOBILedit Forensic Express

2020 ◽  
Vol 5 (1) ◽  
pp. 89
Author(s):  
Nasirudin Nasirudin ◽  
Sunardi Sunardi ◽  
Imam Riadi
Keyword(s):  
Mobile Device ◽  
Rapid Development ◽  
Rapid Progress ◽  
Data Backup ◽  
Technological Advances ◽  
Smartphone Technology ◽  
Case Simulation ◽  
Device Technology

Technological advances are growing rapidly, including mobile device technology, one of which is an Android smartphone that is experiencing rapid progress with a variety of features so that it can spoil its users, with the rapid development of smartphone technology, many users benefit, but many are disadvantaged by the growing smartphone. technology, so that many perpetrators or persons who commit crimes and seek profits with smartphone facilities. Case simulation by securing Samsung Galaxy A8 brand android smartphone evidence using the MOBILedit forensic express forensic tool with the National Institute of Standards and Technology (NIST) method which consists of four stages of collection, examination, analysis and reporting. The results of testing the Samsung Galaxy A8 android smartphone are carried out with the NIST method and the MOBILedit Forensic Express tool obtained by data backup, extraction and analysis so that there are findings sought for investigation and evidence of crimes committed by persons using android smartphone facilities.

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