scholarly journals Process, Analyze and Visualize Telecommunication Network Configuration Data in Graph Database

2019 ◽  
Vol 07 (01) ◽  
pp. 65-76
Author(s):  
Péter Lehotay-Kéry ◽  
Attila Kiss
Keyword(s):  
Relational Database ◽  
Telecommunication Network ◽  
Graph Database ◽  
Network Configuration ◽  
Vast Number ◽  
Customer Support ◽  
Storage Size ◽  
Disk Space ◽  
Configuration Data ◽  
And Storage

In network telemetry systems, nodes produce vast number of configuration files based on how they are configured. Steps were taken to process these files into databases to help the work of the developers, testers and customer support to focus on the development and testing and to be able to give advice to the customers about how to configure the nodes. However, the processing of these data in relational database manager system is slow, hard to query and the storage takes huge disk space. In this paper, we are presenting a way to store the data produced by these nodes in graph database, changing from relational database to NoSQL environment. With our approach, one can easily represent and visualize the network of machines. In the end, we are going to compare the inserting, querying time and storage size in different database manager systems. The results could also be used for other types of configuration data too from other kinds of machines to show the connection between them and query them easily.

Global Transformation Strategies for Power and Storage Size Reduction

1998 ◽  
pp. 159-178
Author(s):  
Francky Catthoor ◽  
Sven Wuytack ◽  
Eddy De Greef ◽  
Florin Balasa ◽  
Lode Nachtergaele ◽  
...  
Keyword(s):  
Size Reduction ◽  
Storage Size ◽  
And Storage

One Automatic Control Equipment IETM Making Research Based on GJB6600

2014 ◽  
Vol 602-605 ◽  
pp. 1165-1168
Author(s):  
Dao Ju Duan ◽  
Lei Qiu ◽  
Zhong Tao Zhu ◽  
Da Peng Wang ◽  
Rong Yue Xie
Keyword(s):  
Automatic Control ◽  
Data Storage ◽  
Relational Database ◽  
Data Description ◽  
Storage Technology ◽  
Design Scheme ◽  
Control Equipment ◽  
Maintenance Time ◽  
And Storage ◽  
Important Significance

The process and design scheme of IETM system based on GJB6600 standard was introduced in this paper, and automatic control equipment maintenance was studied with IETM data description and storage technology,the data description scheme, data storage and query framework were established, realized the conversion from XML data to relational database, and the small IETM browsing prototype was developed. This project had important significance to shorten the maintenance time and improve the efficiency of equipment protection.

scholarly journals Research of the Secure Routing Method of Confidential Messages on Disjoint Paths

2020 ◽  
pp. 43-55
Author(s):  
Oleksandr Lemeshko ◽  
Yurii Hrachov ◽  
Batoul Sleiman
Keyword(s):  
Optimization Problems ◽  
Telecommunication Network ◽  
Telecommunication Networks ◽  
Secure Routing ◽  
Disjoint Paths ◽  
Network Configuration ◽  
Study Results ◽  
Sequential Solution ◽  
Communication Links ◽  
Routing Method

The article proposes a secure routing method of confidential messages in a telecommunication network by disjoint paths and its research results. The presented method of disjoint paths secure routing of confidential messages is based on the sequential solution of two optimization problems: calculating disjoint routes and secure balancing of confidential message fragments on a set of precalculated paths. An optimization model was chosen to determine the set of routes, namely, to calculate the maximum number of disjoint paths, including communication links with minimum compromise probability. Additionally, a model of fragmented transmission using a precalculated set of disjoint paths was selected according to the SPREAD mechanism and Shamir’s scheme to ensure the minimum possible probability of message compromise. The study of the proposed secure routing method on the selected network configuration for three different variants of the link compromise probabilities has been conducted. The study results confirmed the effectiveness of the proposed secure routing method and the efficiency of the underlying optimization models to determine both the set of disjoint paths and the order of secure balancing of confidential message fragments. Prospects for further research in the field of secure routing in telecommunication networks are related to considering the link compromise probabilities and other essential indicators of network security.

scholarly journals Perbandingan Performa Relational, Document-Oriented dan Graph Database Pada Struktur Data Directed Acyclic Graph

2017 ◽  
Vol 8 (2) ◽  
Author(s):  
Pradana Setialana ◽  
Teguh Bharata Adji ◽  
Igi Ardiyanto
Keyword(s):  
Social Network ◽  
Directed Graph ◽  
Relational Database ◽  
Directed Acyclic Graph ◽  
Performance Test ◽  
Performance Comparison ◽  
Graph Database ◽  
Acyclic Graph ◽  
Database Performance ◽  
A Performance

Abstract. Directed Acyclic Graph (DAG) is a directed graph which is not cyclic and is usually employed in social network and data genealogy. Based on the characteristic of DAG data, a suitable database type should be evaluated and then chosen as a platform. A performance comparison among relational database (PostgreSQL), document-oriented database (MongoDB), and graph database (Neo4j) on a DAG dataset are then conducted to get the appropriate database type. The performance test is done on Node.js running on Windows 10 and uses the dataset that has 3910 nodes in single write synchronous (SWS) and single read (SR). The access performance of PostgreSQL is 0.64ms on SWS and 0.32ms on SR, MongoDB is 0.64ms on SWS and 4.59ms on SR, and Neo4j is 9.92ms on SWS and 8.92ms on SR. Hence, relational database (PostgreSQL) has better performance in the operation of SWS and SR than document-oriented database (MongoDB) and graph database (Neo4j).Keywords: database performance, directed acyclic graph, relational database, document-oriented database, graph database Abstrak. Directed Acyclic Graph (DAG) adalah graf berarah tanpa putaran yang dapat ditemui pada data jejaring sosial dan silsilah keluarga. Setiap jenis database memiliki performa yang berbeda sesuai dengan struktur data yang ditangani. Oleh karena itu perlu diketahui database yang tepat khususnya untuk data DAG. Tujuan penelitian ini adalah membandingkan performa dari relational database (PostgreSQL), document-oriented database (MongoDB) dan graph database (Neo4j) pada data DAG. Metode yang dilakukan adalah mengimplentasi dataset yang memiliki 3910 node dalam operasi single write synchronous (SWS) dan single read (SR) pada setiap database menggunakan Node.js dalam Windows 10. Hasil pengujian performa PostgreSQL dalam operasi SWS sebesar 0.64ms dan SR sebesar 0.32ms, performa MongoDB pada SWS sebesar 0.64ms dan SR sebesar 4.59ms sedangkan performa Neo4j pada operasi SWS sebesar 9.92ms dan SR sebesar 8.92ms. Hasil penelitian menunjukan bahwa relational database (PostgreSQL) memiliki performa terbaik dalam operasi SWS dan SR dibandingkan document-oriented database (MongoDB) dan graph database (Neo4j).Kata Kunci: performa database, directed acyclic graph, relational database, document-oriented database, graph database

Armenian Astronomical Heritage and Big Data

2019 ◽  
Vol 15 (S367) ◽  
pp. 269-272
Author(s):  
Gor A. Mikayelyan ◽  
Sona. V. Farmanyan ◽  
Areg M. Mickaelian
Keyword(s):  
Virtual Observatory ◽  
Electronic Database ◽  
Byurakan Survey ◽  
Vast Number ◽  
The World ◽  
Ancient Times ◽  
Spectroscopic Database ◽  
Archive Project ◽  
And Storage ◽  
Low Dispersion

AbstractAstronomy in Armenia was popular since ancient times and Armenia is rich in its astronomical heritage, such as ancient and medieval Armenian calendars, records of astronomical events by ancient Armenians, the astronomical heritage of the Armenian medieval great thinker Anania Shirakatsi, etc. Armenian astronomical archives have accumulated vast number of photographic plates, films and other careers of observational data. The Digitized Markarian Survey or the First Byurakan Survey, is the most important low-dispersion spectroscopic database. It is one of the rare science items included in UNESCO “Memory of the World” Documentary Heritage list. The Byurakan Astrophysical Observatory (BAO) Plate Archive Project (2015–2021) will result in digitization and storage of some 37,000 astronomical plates and films and in creation of an Electronic Database for further research projects. Based on these data and archives and development of their interoperability, the Armenian Virtual Observatory was created and joined the International Virtual Observatory Alliance.

Graph Database An Alternative for Relational Database

2019 ◽  
Vol 7 (2) ◽  
pp. 685-691
Author(s):  
H.R. Vyawahare1* ◽  
P.P. Karde2 ◽  
V.M. Thakare3
Keyword(s):  
Relational Database ◽  
Graph Database
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