Assessing NoSQL Databases for Telecom Applications

Cruz, Francisco; Gomes, Pedro; Oliveira, Rui; Pereira, José

doi:10.1109/cec.2011.48

Cited by 11 publications

(7 citation statements)

References 7 publications

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“…This allows a cluster to grow to several dozen or in some cases even thousands of nodes. NoSQL databases have been considered for several applications, including e-health [20], humanities [21] and telecom [22]. In this paper we apply them to power systems.…”

Section: B Implementationmentioning

confidence: 99%

Applying innovative IT modelling methods to low-level grid information for DSO operations

Veen¹,

Wijbenga²,

Kamphuis³

2015

2015 IEEE Eindhoven PowerTech

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Distribution system operators will gather an increasing amount of electricity data from the lower level of the grid to be able to cope with several challenges, such as an increase of distributed, heterogeneous energy production, local storage, and electric vehicles. Most DSOs are not yet prepared for collecting, storing and processing these large amounts of data. This paper introduces a method for designing, validating and implementing such a system. The most important aspect of this method is the fact that the domain expert is able to validate the constructed conceptual model, before it is used to create a working system. This validation step adds to the quality of the model, and therefore to the resulting system. We have applied our method to a use case where a DSO researcher wants to answer questions such as "Can we recognize which appliances are present in households?" and "How can we cluster similar households?".

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Section: B Implementationmentioning

confidence: 99%

Applying innovative IT modelling methods to low-level grid information for DSO operations

Veen¹,

Wijbenga²,

Kamphuis³

2015

2015 IEEE Eindhoven PowerTech

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“…Processing) [4,9] that include data mining, analytics, decision making which are the parts of business intelligence. OLAP allows getting more access to the extensive possible views of information by consolidation, drill-down, and the slicing and dicing of data.…”

Section: Motivationmentioning

confidence: 99%

“…A simulation platform was developed and evaluated in the paper [4] to support a case study regarding the migration of a telecom application to NoSQL environment. From Relational model PostgreSQL and Cassandra from NoSQL family were chosen for this case study.…”

Section: Fig214mentioning

confidence: 99%

Data migration: relational RDBMS to non-relational NoSQL

Alam¹

2021

Preprint

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As a part of achieving specific targets, business decision making involves processing and analyzing large volumes of data that leads to growing enterprise databases day by day. Considering the size and complexity of the databases used in today’s enterprises, it is a major challenge for enterprises to re-engineering their applications that can handle large amounts of data. Compared to traditional relational databases, non-relational NoSQL databases are better suited for dynamic provisioning, horizontal scaling, significant performance, distributed architecture and developer agility benefits. Based on the concept of Object Relational Mapping (ORM) and traditional ETL data migration technique this thesis proposes a methodology for migrating data from RDBMS to NoSQL. The performance of the proposed solution is evaluated through a comparative analysis of RDBMS and NoSQL implementations based on query performance evaluation, query structure and developmental agility.

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“…Therefore, related research works have academic significance and practical values. Typical applications of NoSQL databases involve many important areas, such as the Internet, mobile computation, telecommunications, bioinformatics, education, and energy …”

Section: Introductionmentioning

confidence: 99%

An integration approach of hybrid databases based on SQL in cloud computing environment

2018

Softw Pract Exp

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As the applications with big data in cloud computing environment grow, many existing systems expect to expand their service to support the dramatic increase of data, and modern software development for services computing and cloud computing software systems is no longer based on a single database but on existing multidatabases and this convergence needs new software architecture design. This paper proposes an integration approach to support hybrid database architecture, including MySQL, MongoDB, and Redis, to make it possible of allowing users to query data simultaneously from both relational SQL systems and NoSQL systems in a single SQL query. Two mechanisms are provided for constructing Redis's indexes and semantic transforming between SQL and Mon-goDB API to add the SQL feature for these NoSQL databases. With the proposed approach, hybrid database systems can be performed in a flexible manner, ie, access can be either relational database or NoSQL, depending on the size of data. The approach can effectively reduce development complexity and improve development efficiency of the software systems with multidatabases. This is the result of further research on the related topic, which fills the gap ignored by relevant scholars in this field to make a little contribution to the further development of NoSQL technology. /journal/spe 401 402 LI AND GU applications of NoSQL (not only SQL) database systems become more and more popular, it also poses a greater challenge to the development methods and technical architecture of software systems. A dramatic change, or called a revolution, is taking place in the field of database management technology as the growing of applications with big data in cloud computing environment. In June 1970, Edgar Frank Codd, a researcher of IBM company, published the famous paper, ie, A Relational Model of Data for Large Shared Data Banks, in Communications of ACM, which established the theoretical model of relational database. After decades of development, the relational database management system has gradually become mature, and the SQL (structured query language) used to access the relational database system also has been developed into the standard of all relational databases. However, big data and hybrid database system are becoming popular as cloud service blooms, and NoSQL database systems, such as Redis, 9 MongoDB, 10 HBase, 11 and Neo4J, 12 also have been developed rapidly.NoSQL systems have been developed to support applications not well served by relational systems, often involving big data processing. 13 Therefore, related research works have academic significance and practical values. Typical applications of NoSQL databases involve many important areas, such as the Internet, 14 mobile computation, 15 telecommunications, 16 bioinformatics, 17 education, 18 and energy. 19 Major NoSQL databases can be classified into four categories, [20][21][22] including key-value store, column-oriented store, document-oriented store, and graph store. Representative NoSQL database products include...

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Assessing NoSQL Databases for Telecom Applications

Cited by 11 publications

References 7 publications

Applying innovative IT modelling methods to low-level grid information for DSO operations

Applying innovative IT modelling methods to low-level grid information for DSO operations

Data migration: relational RDBMS to non-relational NoSQL

An integration approach of hybrid databases based on SQL in cloud computing environment

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