Distributed and Parallel Databases最新文献_第10页

On accurate POI recommendation via transfer learning 基于迁移学习的准确POI推荐

IF 1.2 4区计算机科学

Distributed and Parallel Databases Pub Date : 2020-06-15 DOI: 10.1007/s10619-020-07299-7

Hao Zhang, Siyi Wei, Xiaojiao Hu, Ying Li, Jiajie Xu

引用次数: 7

A framework for dependency estimation in heterogeneous data streams 异构数据流中依赖估计的框架

IF 1.2 4区计算机科学

Distributed and Parallel Databases Pub Date : 2020-06-06 DOI: 10.1007/s10619-020-07295-x

Edouard Fouché, Alan Mazankiewicz, Florian Kalinke, Klemens Böhm

引用次数: 3

A data distribution model for RDF RDF的数据分布模型

IF 1.2 4区计算机科学

Distributed and Parallel Databases Pub Date : 2020-05-16 DOI: 10.1007/s10619-020-07296-w

Rebeca Schroeder, Raqueline R. M. Penteado, Carmem S. Hara

引用次数: 5

LSTM-based deep learning for spatial–temporal software testing 基于lstm的时空软件测试深度学习

IF 1.2 4区计算机科学

Distributed and Parallel Databases Pub Date : 2020-05-09 DOI: 10.1007/s10619-020-07291-1

Lei Xiao, Huai-kou Miao, Tingting Shi, Yu Hong

引用次数: 7

Self-adapting data migration in the context of schema evolution in NoSQL databases NoSQL数据库模式进化背景下的自适应数据迁移

IF 1.2 4区计算机科学

Distributed and Parallel Databases Pub Date : 2020-04-01 DOI: 10.1109/ICDEW49219.2020.00013

Andrea Hillenbrand, U. Störl, Shamil Nabiyev, Meike Klettke

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引用次数: 13

Selective caching: a persistent memory approach for multi-dimensional index structures 选择性缓存:用于多维索引结构的持久内存方法

IF 1.2 4区计算机科学

Distributed and Parallel Databases Pub Date : 2020-04-01 DOI: 10.1109/ICDEW49219.2020.00010

M. Jibril, Philipp Götze, David Broneske, K. Sattler

{"title":"Selective caching: a persistent memory approach for multi-dimensional index structures","authors":"M. Jibril, Philipp Götze, David Broneske, K. Sattler","doi":"10.1109/ICDEW49219.2020.00010","DOIUrl":"https://doi.org/10.1109/ICDEW49219.2020.00010","url":null,"abstract":"After the introduction of Persistent Memory in the form of Intel’s Optane DC Persistent Memory on the market in 2019, it has found its way into manifold applications and systems. As Google and other cloud infrastructure providers are starting to incorporate Persistent Memory into their portfolio, it is only logical that cloud applications have to exploit its inherent properties. Persistent Memory can serve as a DRAM substitute, but guarantees persistence at the cost of compromised read/write performance compared to standard DRAM. These properties particularly affect the performance of index structures, since they are subject to frequent updates and queries. However, adapting each and every index structure to exploit the properties of Persistent Memory is tedious. Hence, we require a general technique that hides this access gap, e.g., by using DRAM caching strategies. To exploit Persistent Memory properties for analytical index structures, we propose selective caching . It is based on a mixture of dynamic and static caching of tree nodes in DRAM to reach near-DRAM access speeds for index structures. In this paper, we evaluate selective caching on the OLAP-optimized main-memory index structure Elf, because its memory layout allows for an easy caching. Our experiments show that if configured well, selective caching with a suitable replacement strategy can keep pace with pure DRAM storage of Elf while guaranteeing persistence. These results are also reflected when selective caching is used for parallel workloads.","PeriodicalId":50568,"journal":{"name":"Distributed and Parallel Databases","volume":"40 1","pages":"47-66"},"PeriodicalIF":1.2,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICDEW49219.2020.00010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47157551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

On the necessity of explicit cross-layer data formats in near-data processing systems 近数据处理系统中显式跨层数据格式的必要性

IF 1.2 4区计算机科学

Distributed and Parallel Databases Pub Date : 2020-04-01 DOI: 10.1109/ICDEW49219.2020.00009

Tobias Vinçon, Arthur Bernhardt, Lukas Weber, A. Koch, Ilia Petrov

引用次数: 6

A gray-box modeling methodology for runtime prediction of Apache Spark jobs 用于Apache Spark作业运行时预测的灰盒建模方法

IF 1.2 4区计算机科学

Distributed and Parallel Databases Pub Date : 2020-03-10 DOI: 10.1007/s10619-020-07286-y

Hani Al-Sayeh, Stefan Hagedorn, K. Sattler

引用次数: 12

Multi-objective spatial keyword query with semantics: a distance-owner based approach 具有语义的多目标空间关键字查询:一种基于距离所有者的方法

IF 1.2 4区计算机科学

Distributed and Parallel Databases Pub Date : 2020-02-08 DOI: 10.1007/s10619-020-07283-1

Jiajie Xu, J. Chen, Lihua Yin

引用次数: 2

Secrecy and performance models for query processing on outsourced graph data 外包图数据查询处理的保密和性能模型

IF 1.2 4区计算机科学

Distributed and Parallel Databases Pub Date : 2020-01-29 DOI: 10.1007/s10619-020-07284-0

Gabriela Suntaxi, Aboubakr Achraf El Ghazi, Klemens Böhm

引用次数: 1