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Information, Volume 10, Issue 7

July 2019 - 24 articles

Cover Story: Data locality is key to improving the performance of big data processing. Apache Hadoop, which can handle big data by sending an analysis code to data nodes to reduce data movement on a network, So, is a fundamental big data processing technology. Four Hadoop modules, Hadoop Distributed File System (HDFS), Yet Another Resource Negotiator and MapReduce, have been investigated to improve the performance of data processing on Hadoop. Among the four modules, HDFS showed the greatest increase in data locality on Hadoop. In particular, the deep data locality fully maximizes the data locality on HDFS by pre-assigning and pre-allocating data blocks on HDFS. View this paper
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Articles (24)

  • Article
  • Open Access
1 Citations
4,000 Views
17 Pages

A Proximity-Based Semantic Enrichment Approach of Volunteered Geographic Information: A Study Case of Waste of Water

  • Liliane Soares da Costa,
  • Italo Lopes Oliveira,
  • Alexandra Moreira and
  • Jugurta Lisboa-Filho

Volunteered geographic information (VGI) refers to geospatial data that is collected and/or shared voluntarily over the Internet. Its use, however, presents many limitations, such as data quality, difficulty in use and recovery. One alternative to im...

  • Article
  • Open Access
8 Citations
4,012 Views
13 Pages

Service recommendation is one of the important means of service selection. Aiming at the problems of ignoring the influence of typical data sources such as service information and interaction logs on the similarity calculation of user preferences and...

  • Article
  • Open Access
5 Citations
5,299 Views
15 Pages

Anthropological, archaeological, and forensic studies situate enforced disappearance as a strategy associated with the Brazilian military dictatorship (1964–1985), leaving hundreds of persons without identity or cause of death identified. Their...

  • Editorial
  • Open Access
1 Citations
3,530 Views
2 Pages

Recommender systems are nowadays an indispensable part of most personalized systems implementing information access and content delivery, supporting a great variety of user activities [...]

  • Article
  • Open Access
1 Citations
3,998 Views
15 Pages

Finite element data form an important basis for engineers to undertake analysis and research. In most cases, it is difficult to generate the internal sections of finite element data and professional operations are required. To display the internal da...

  • Article
  • Open Access
33 Citations
8,663 Views
25 Pages

Multilingual Open Information Extraction: Challenges and Opportunities

  • Daniela Barreiro Claro,
  • Marlo Souza,
  • Clarissa Castellã Xavier and
  • Leandro Oliveira

The number of documents published on the Web in languages other than English grows every year. As a consequence, the need to extract useful information from different languages increases, highlighting the importance of research into Open Information...

  • Article
  • Open Access
11 Citations
3,529 Views
13 Pages

The purpose of this paper is to enrich the decision preference information inconsistency check and adjustment method in the context of capacity-based multiple criteria decision making. We first show that almost all the preference information of a dec...

  • Article
  • Open Access
6 Citations
4,048 Views
16 Pages

The widespread popularity of smart meters enables the collection of an immense amount of fine-grained data, thereby realizing a two-way information flow between the grid and the customer, along with personalized interaction services, such as precise...

  • Article
  • Open Access
30 Citations
11,664 Views
14 Pages

Eligibility of BPMN Models for Business Process Redesign

  • George Tsakalidis,
  • Kostas Vergidis,
  • Georgia Kougka and
  • Anastasios Gounaris

Business process redesign (BPR) is an organizational initiative for achieving competitive multi-faceted advantages regarding business processes, in terms of cycle time, quality, cost, customer satisfaction and other critical performance metrics. In s...

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Information - ISSN 2078-2489