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- research-articleJune 2023
Scalable top-k query on information networks with hierarchical inheritance relations
Distributed and Parallel Databases (DAPD), Volume 42, Issue 1Mar 2024, Pages 1–30https://doi.org/10.1007/s10619-023-07432-2AbstractGraph query, pattern mining and knowledge discovery become challenging on large-scale heterogeneous information networks (HINs). State-of-the-art techniques involving path propagation mainly focus on the inference of node labels, and neighborhood ...
- research-articleMay 2023
Multi-model query languages: taming the variety of big data
Distributed and Parallel Databases (DAPD), Volume 42, Issue 1Mar 2024, Pages 31–71https://doi.org/10.1007/s10619-023-07433-1AbstractA critical issue in Big Data management is to address the variety of data–data are produced by disparate sources, presented in various formats, and hence inherently involves multiple data models. Multi-Model DataBases (MMDBs) have emerged as a ...
- research-articleJune 2021
- research-articleMarch 2021
Pruning techniques for parallel processing of reverse top-k queries
Distributed and Parallel Databases (DAPD), Volume 39, Issue 1Mar 2021, Pages 169–199https://doi.org/10.1007/s10619-020-07297-9AbstractIn this paper, we address the problem of processing reverse top-k queries in a parallel setting. Given a database of objects, a set of user preferences, and a query object q, the reverse top-k query returns the subset of user preferences for which ...
- research-articleMarch 2021
Holistic evaluation in multi-model databases benchmarking
Distributed and Parallel Databases (DAPD), Volume 39, Issue 1Mar 2021, Pages 1–33https://doi.org/10.1007/s10619-019-07279-6AbstractA multi-model database (MMDB) is designed to support multiple data models against a single, integrated back-end. Examples of data models include document, graph, relational, and key-value. As more and more platforms are developed to deal with ...
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- articleMarch 2019
PLI$$^+$$+: efficient clustering of cloud databases
Distributed and Parallel Databases (DAPD), Volume 37, Issue 1March 2019, Pages 177–208https://doi.org/10.1007/s10619-018-7252-2Commercial cloud database services increase availability of data and provide reliable access to data. Routine database maintenance tasks such as clustering, however, increase the costs of hosting data on commercial cloud instances. Clustering causes an ...
- articleDecember 2018
Monitoring distributed fragmented skylines
Distributed and Parallel Databases (DAPD), Volume 36, Issue 4December 2018, Pages 675–715https://doi.org/10.1007/s10619-018-7223-7Distributed skyline computation is important for a wide range of domains, from distributed and web-based systems to ISP-network monitoring and distributed databases. The problem is particularly challenging in dynamic distributed settings, where the goal ...
- articleJune 2018
Multi-join query optimization in bucket-based encrypted databases using an enhanced ant colony optimization algorithm
Distributed and Parallel Databases (DAPD), Volume 36, Issue 2June 2018, Pages 399–441https://doi.org/10.1007/s10619-018-7220-xOne of the organizations' main concerns is to protect sensitive data in database systems, especially the ones outsourced to untrusted service providers. An effective solution for this issue is to employ database encryption methods. Among different ...
- articleDecember 2017
A parallel computation of skyline using multiple regression analysis-based filtering on MapReduce
Distributed and Parallel Databases (DAPD), Volume 35, Issue 3-4December 2017, Pages 383–409https://doi.org/10.1007/s10619-017-7202-4In the last decade, skyline query processing has become widely important because of its usefulness in decision making applications. Since the size of the datasets used for skyline query processing are huge, algorithms for MapReduce-based skyline query ...
- articleDecember 2017
Distributed secondo: an extensible and scalable database management system
Distributed and Parallel Databases (DAPD), Volume 35, Issue 3-4December 2017, Pages 197–248https://doi.org/10.1007/s10619-017-7198-9This paper describes a novel method to couple a standalone database management system (DBMS) with a highly scalable key-value store. The system employs Apache Cassandra as data storage and the extensible DBMS Secondo as a query processing engine. The ...
- articleMarch 2017
M-Grid: a distributed framework for multidimensional indexing and querying of location based data
Distributed and Parallel Databases (DAPD), Volume 35, Issue 1March 2017, Pages 55–81https://doi.org/10.1007/s10619-017-7194-0The widespread use of mobile devices and the real time availability of user-location information is facilitating the development of new personalized, location-based applications and services (LBSs). Such applications require multi-attribute query ...
- articleDecember 2016
Identifying defective nodes in wireless sensor networks
Distributed and Parallel Databases (DAPD), Volume 34, Issue 4December 2016, Pages 591–610https://doi.org/10.1007/s10619-015-7189-7Wireless sensor networks (WSNs) have become ubiquitous, e.g., in logistics, smart manufacturing, smart city infrastructures or vehicular ad-hoc networks. WSNs tend to rely on ad-hoc infrastructures that are prone to a wide range of different defects, ...
- articleDecember 2016
Uncertain top-k query processing in distributed environments
Distributed and Parallel Databases (DAPD), Volume 34, Issue 4December 2016, Pages 567–589https://doi.org/10.1007/s10619-015-7188-8The top-k query on uncertain data set has been a very hot topic these years, and there have been many studies on uncertain top-k queries. Unfortunately, most of the existing algorithms only consider centralized processing environments, and they are not ...
- articleDecember 2016
Sliding window top-k dominating query processing over distributed data streams
Distributed and Parallel Databases (DAPD), Volume 34, Issue 4December 2016, Pages 535–566https://doi.org/10.1007/s10619-015-7187-9Preference query processing is important for a wide range of applications involving distributed databases, such as network monitoring, web-based systems, and market analysis. In such applications, data objects are generated frequently and massively, ...
- articleDecember 2016
CloudMdsQL: querying heterogeneous cloud data stores with a common language
Distributed and Parallel Databases (DAPD), Volume 34, Issue 4December 2016, Pages 463–503https://doi.org/10.1007/s10619-015-7185-yThe blooming of different cloud data management infrastructures, specialized for different kinds of data and tasks, has led to a wide diversification of DBMS interfaces and the loss of a common programming paradigm. In this paper, we present the design ...
- articleSeptember 2016
Spatial data warehouses and spatial OLAP come towards the cloud: design and performance
- Rodrigo Costa Mateus,
- Thiago Luís Siqueira,
- Valéria Cesário Times,
- Ricardo Rodrigues Ciferri,
- Cristina Dutra Aguiar Ciferri
Distributed and Parallel Databases (DAPD), Volume 34, Issue 3September 2016, Pages 425–461https://doi.org/10.1007/s10619-015-7176-zCloud computing systems handle large volumes of data by using almost unlimited computational resources, while spatial data warehouses (SDWs) are multidimensional databases that store huge volumes of both spatial data and conventional data. Cloud ...
- articleSeptember 2016
Benchmarking SQL on MapReduce systems using large astronomy databases
Distributed and Parallel Databases (DAPD), Volume 34, Issue 3September 2016, Pages 347–378https://doi.org/10.1007/s10619-014-7172-8In the era of bigdata, with a massive set of digital information of unprecedented volumes being collected and/or produced in several application domains, it becomes more and more difficult to manage and query large data repositories. In the framework of ...
- articleJune 2016
Probabilistic nearest neighbor query processing on distributed uncertain data
Distributed and Parallel Databases (DAPD), Volume 34, Issue 2June 2016, Pages 259–287https://doi.org/10.1007/s10619-015-7183-0A nearest neighbor (NN) query, which returns the most similar object to a user-specified query object, plays an important role in a wide range of applications and hence has received considerable attention. In many such applications, e.g., sensor data ...
- articleJune 2016
Detecting common subexpressions for multiple query optimization over loosely-coupled heterogeneous data sources
Distributed and Parallel Databases (DAPD), Volume 34, Issue 2June 2016, Pages 119–143https://doi.org/10.1007/s10619-014-7166-6The research presented in this paper supports the identification of common subexpressions as candidates for potential materialized views that form the basis of multiple query optimization in a loosely-coupled distributed system where query expressions ...
- articleSeptember 2015
Efficient top-(k,l) range query processing for uncertain data based on multicore architectures
Distributed and Parallel Databases (DAPD), Volume 33, Issue 3September 2015, Pages 381–413https://doi.org/10.1007/s10619-014-7156-8Query processing over uncertain data is very important in many applications due to the existence of uncertainty in real-world data. In this paper, we first elaborate a new and important query in the context of an uncertain database, namely uncertain top-...