A data integration approach for smart cities: The case of natal

2017 ◽  
Author(s):  
Arthur Souza ◽  
Jorge Pereira ◽  
Juliana Oliveira ◽  
Claudio Trindade ◽  
Everton Cavalcante ◽  
...  
Keyword(s):  
Data Integration ◽  
Smart Cities ◽  
Integration Approach

scholarly journals Integração, Relacionamento e Representação de Dados em Cidades Inteligentes: Uma Revisão de Literatura

2018 ◽  
Author(s):  
Larysse Silva ◽  
José Alex Lima ◽  
Nélio Cacho ◽  
Eiji Adachi ◽  
Frederico Lopes ◽  
...  
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Data Integration ◽  
Smart Cities ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Application Development ◽  
Continuous Integration ◽  
Heterogeneous Data Sources ◽  
Computational Systems

A notable characteristic of smart cities is the increase in the amount of available data generated by several devices and computational systems, thus augmenting the challenges related to the development of software that involves the integration of larges volumes of data. In this context, this paper presents a literature review aimed to identify the main strategies used in the development of solutions for data integration, relationship, and representation in smart cities. This study systematically selected and analyzed eleven studies published from 2015 to 2017. The achieved results reveal gaps regarding solutions for the continuous integration of heterogeneous data sources towards supporting application development and decision-making.

Power Neighboring Interval Matching Based PMC Integration

2016 ◽  
Vol 25 (08) ◽  
pp. 1650086
Author(s):  
Yuelong Li ◽  
Jigang Wu ◽  
Yawen Chen ◽  
Jason Mair ◽  
David Eyers ◽  
...  
Keyword(s):  
Data Integration ◽  
Power Consumption ◽  
Power Dissipation ◽  
System Performance ◽  
Performance Monitoring ◽  
Power Estimation ◽  
Raw Data ◽  
Integration Approach ◽  
Common Task ◽  
The Status

Performance monitoring counters (PMCs) are of great value to monitor the status of processors and their further analysis and modeling. In this paper, we explore a novel problem called PMC integration, i.e., how to combine a group of PMCs which are collected asynchronously together. It is well known that, due to hardware constraints, the number of PMCs that can be measured concurrently is strictly limited. It means we cannot directly acquire all the phenomenon features that are related with the system performance. Clearly, this source raw data shortage is extremely frustrating to PMCs based analysis and modeling tasks, such as PMCs based power estimation. To deal with this problem, we introduce a neighboring interval power values based PMC data integration approach. Based on the activity similarity of easily collected power dissipation values, the proposed approach can automatically combine distinct categories of PMC data together and hence realize the recovery of intact raw PMC data. In addition, the significance and effectiveness of the proposed approach are experimentally verified on a common task, the PMCs based power consumption modeling.

scholarly journals Framework for a Symmetric Integration Approach

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 224
Author(s):  
Mihaela Muntean ◽  
Claudiu Brândaş ◽  
Tanita Cîrstea
Keyword(s):  
Data Integration ◽  
Open Data ◽  
Application Integration ◽  
Cloud Environment ◽  
Integration Framework ◽  
Symmetry Approach ◽  
Integration Approach ◽  
Implementation Aspects

An Application-to-Application integration framework in the cloud environment is proposed. The methodological demarche is developed using a data symmetry approach. Implementation aspects of integration considered the Open Data Protocol (OData) service as an integrator. An important issue in the cloud environment is to integrate and ensure the quality of transferred and processed data. An efficient way of ensuring the completeness and integrity of data transferred between different applications and systems is the symmetry of data integration. With these considerations, the integration of SAP Hybris Cloud for Customer with S/4 HANA Cloud was implemented.

An approach for developing a schemaless XML dataspace profiling system

2012 ◽  
Vol 38 (3) ◽  
pp. 234-257 ◽  
Author(s):  
Turkka Näppilä ◽  
Timo Niemi
Keyword(s):  
Data Integration ◽  
Information Needs ◽  
User Interaction ◽  
Setup Time ◽  
Data Sources ◽  
Integration Approach ◽  
Query System

Dataspace systems have been proposed recently as an alternative to the traditional data integration approach. They offer reduced setup time and costs by allowing cooperation among the data sources based on the knowledge gained gradually through user interaction. A dataspace is a collection of heterogeneous and beforehand unfamiliar but interrelated data sources. In this article, we consider dataspaces composed of XML-based data sources. The XML query and analysis systems designed to satisfy the user’s sophisticated information needs presuppose that they are familiar with the contents, structures and semantics of the underlying data sources. In order to provide this information, we introduce and specify a schemaless XML dataspace profiling system that assists the user in selecting data sources relevant to him/her and in validating their consistency by detecting the potential data conflicts among them. We also demonstrate how our approach affords the possibility of utilizing an advanced XML query system.

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