A Data Services Composition Approach for Continuous Query on Data Streams

被引：0

作者：

Wang, Guiling ^{[1
,2
]}

Zuo, Xiaojiang ^{[1
]}

Hesenius, Marc ^{[3
]}

Xu, Yao ^{[2
]}

Han, Yanbo ^{[1
]}

Gruhn, Volker ^{[3
]}

机构：

[1] North China Univ Technol, Beijing Key Lab Integrat & Anal Large Scale Strea, 5 Jinyuanzhuang Rd, Beijing 100144, Peoples R China

[2] Ocean Informat Technol Co, CETC Ocean Corp, China Elect Technol Grp Corp, 11 Shuangyuan Rd,Badachu Hitech Pk, Beijing 100041, Peoples R China

[3] Univ Duisburg Essen, Paluno Ruhr Inst Software Technol, Schutzenbahn 70, D-45127 Essen, Germany

来源：

WEB AND BIG DATA (APWEB-WAIM 2018), PT II | 2018年 / 10988卷

基金：

中国国家自然科学基金; 北京市自然科学基金;

关键词：

Data streams; Query rewriting; Data services; Service composition; Continuous query;

D O I：

10.1007/978-3-319-96893-3_9

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We witness a rapid increase in the number of data streams due to Cloud Computing, Big Data and IoT development. We would like to access and share data streams using a data service approach. In this paper, we propose a flexible continuous data service model and a continuous data service composition algorithm for answering queries across data streams. Service operation instance is modeled as a view defined on data streams composed of two parts: a data part and a time synchronization part. The composition algorithm extends the traditional Bucket algorithm to find the contained rewriting of user query on views satisfying the containment relationship of both data part and time synchronization part. We also present use case and experimental studies indicating that the approach is effective and efficient.

引用

页码：106 / 120

页数：15

共 50 条

[1] Technology of Continuous Query Optimization over Data Streams
Feng Wei-bing
Li Zhan-huai
ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 2, 2008, : 362 - 366
[2] Prioritized Query Shedding Technique for Continuous Queries Over Data Streams
Helmy, Yehia M.
El Zanfaly, Doaa S.
Othman, Nermin A.
2009 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND SYSTEMS (ICCES 2009), 2009, : 418 - 422
[3] Survey on Query Estimation in Data Streams
Gupta, Sudhanshu
Garg, Deepak
2009 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE, VOLS 1-3, 2009, : 1417 - 1422
[4] Efficient Optimized Query Mesh for Data Streams
Mohamed, Fatma
Ismail, Rasha
Badr, Nagwa
Tolba, Mohamed Fahmy
2014 9TH INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING & SYSTEMS (ICCES), 2014, : 157 - 163
[5] Optimized Elastic Query Mesh for Cloud Data Streams
Mohamed, Fatma
Ismail, Rasha M.
Badr, Nagwa L.
Tolba, M. F.
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2015, PT I, 2015, 9155 : 367 - 381
[6] A Distance-Window Approach for the Continuous Processing of Spatial Data Streams
Shaikh, Salman Ahmed
Matono, Akiyoshi
Kim, Kyoung-Sook
INTERNATIONAL JOURNAL OF MULTIMEDIA DATA ENGINEERING & MANAGEMENT, 2020, 11 (02) : 16 - 30
[7] Matrix-based continuous query evaluation for multisensor data streams in Internet of Things (IoT) environments
Lee, Hyun-Ho
Park, Hong-Kyu
Joo, Kil-Hong
Lee, Won-Suk
ASIA LIFE SCIENCES, 2015, : 317 - 334
[8] StreamPref: a query language for temporal conditional preferences on data streams
Ribeiro, Marcos Roberto
Barioni, Maria Camila N.
de Amo, Sandra
Roncancio, Claudia
Labbe, Cyril
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2019, 53 (02) : 329 - 360
[9] An Effective Probabilistic Skyline Query Process on Uncertain Data Streams
Liu, Chuan-Ming
Tang, Syuan-Wei
6TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2015)/THE 5TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2015), 2015, 63 : 40 - 47
[10] StreamPref: a query language for temporal conditional preferences on data streams
Marcos Roberto Ribeiro
Maria Camila N. Barioni
Sandra de Amo
Claudia Roncancio
Cyril Labbé
Journal of Intelligent Information Systems, 2019, 53 : 329 - 360

← 1 2 3 4 5 →