Loading…
Study on the data integration platform of multi-regional SCADA system based on cloud computing
Through analyzing in the data characteristic of SCADA system and the demand of integrating lots of distributed power station data to analyze, propose a solution to build a high-performance parallel computing platform in process data of power station based on cloud computing technology. First, it pre...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 522 |
container_issue | |
container_start_page | 519 |
container_title | |
container_volume | |
creator | Chen Liu Mengxin Liu Zhengqiu Yang Jiangpeng Xiu |
description | Through analyzing in the data characteristic of SCADA system and the demand of integrating lots of distributed power station data to analyze, propose a solution to build a high-performance parallel computing platform in process data of power station based on cloud computing technology. First, it presents a detailed description of the problems encountered in SCADA system, and an overview of the characteristics of cloud computing and related technologies. And then discuss the design of cloud computing platform from the physical composition, terms of system architecture, software technology. Furthermore, by setting up a test environment to compare the performance of this program on the storage capacity and query speed, and it proves to have high performance and strong scalability. |
doi_str_mv | 10.1109/CCIS.2014.7175791 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_7175791</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7175791</ieee_id><sourcerecordid>7175791</sourcerecordid><originalsourceid>FETCH-LOGICAL-i208t-21766878872e73e795a8bab451c23fa93d852fd99e06750e62c3f6807cb928633</originalsourceid><addsrcrecordid>eNo9kMtKxDAYheMNHMd5AHGTF-iYS5M_WQ71NjDgogquHNL2b42009Kmi769FUdXB84HH5xDyA1na86ZvUuSbboWjMdr4KDA8hNyxWOwNo6ljU_JQkjQkbLq_ewPgGDi_B9IeUlWw_DFGONWW2HEgnykYSwm2h5o-ERauOCoPwSsehf8XHa1C2XbN7QtaTPWwUc9VjNwNU2Tzf2GDtMQsKGZG7D4seR1OxY0b5tuDP5QXZOL0tUDro65JG-PD6_Jc7R7edomm13kBTMhEhy0NmAMCASJYJUzmctixXMhS2dlYZQoC2uRaVAMtchlqQ2DPJtnaCmX5PbX6xFx3_W-cf20P_4kvwFhBleN</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Study on the data integration platform of multi-regional SCADA system based on cloud computing</title><source>IEEE Xplore All Conference Series</source><creator>Chen Liu ; Mengxin Liu ; Zhengqiu Yang ; Jiangpeng Xiu</creator><creatorcontrib>Chen Liu ; Mengxin Liu ; Zhengqiu Yang ; Jiangpeng Xiu</creatorcontrib><description>Through analyzing in the data characteristic of SCADA system and the demand of integrating lots of distributed power station data to analyze, propose a solution to build a high-performance parallel computing platform in process data of power station based on cloud computing technology. First, it presents a detailed description of the problems encountered in SCADA system, and an overview of the characteristics of cloud computing and related technologies. And then discuss the design of cloud computing platform from the physical composition, terms of system architecture, software technology. Furthermore, by setting up a test environment to compare the performance of this program on the storage capacity and query speed, and it proves to have high performance and strong scalability.</description><identifier>ISSN: 2376-5933</identifier><identifier>ISBN: 1479947202</identifier><identifier>ISBN: 9781479947201</identifier><identifier>EISSN: 2376-595X</identifier><identifier>EISBN: 1479944394</identifier><identifier>EISBN: 9781479947195</identifier><identifier>EISBN: 1479947199</identifier><identifier>EISBN: 9781479944392</identifier><identifier>DOI: 10.1109/CCIS.2014.7175791</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cloud computing ; Data processing ; Data warehouse ; Distributed databases ; Hadoop cluster ; Load balancing ; Parallel processing ; Power generation ; SCADA system ; SCADA systems</subject><ispartof>2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, 2014, p.519-522</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7175791$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,23929,23930,25139,27924,54554,54931</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7175791$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chen Liu</creatorcontrib><creatorcontrib>Mengxin Liu</creatorcontrib><creatorcontrib>Zhengqiu Yang</creatorcontrib><creatorcontrib>Jiangpeng Xiu</creatorcontrib><title>Study on the data integration platform of multi-regional SCADA system based on cloud computing</title><title>2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems</title><addtitle>CCIS</addtitle><description>Through analyzing in the data characteristic of SCADA system and the demand of integrating lots of distributed power station data to analyze, propose a solution to build a high-performance parallel computing platform in process data of power station based on cloud computing technology. First, it presents a detailed description of the problems encountered in SCADA system, and an overview of the characteristics of cloud computing and related technologies. And then discuss the design of cloud computing platform from the physical composition, terms of system architecture, software technology. Furthermore, by setting up a test environment to compare the performance of this program on the storage capacity and query speed, and it proves to have high performance and strong scalability.</description><subject>Cloud computing</subject><subject>Data processing</subject><subject>Data warehouse</subject><subject>Distributed databases</subject><subject>Hadoop cluster</subject><subject>Load balancing</subject><subject>Parallel processing</subject><subject>Power generation</subject><subject>SCADA system</subject><subject>SCADA systems</subject><issn>2376-5933</issn><issn>2376-595X</issn><isbn>1479947202</isbn><isbn>9781479947201</isbn><isbn>1479944394</isbn><isbn>9781479947195</isbn><isbn>1479947199</isbn><isbn>9781479944392</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2014</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9kMtKxDAYheMNHMd5AHGTF-iYS5M_WQ71NjDgogquHNL2b42009Kmi769FUdXB84HH5xDyA1na86ZvUuSbboWjMdr4KDA8hNyxWOwNo6ljU_JQkjQkbLq_ewPgGDi_B9IeUlWw_DFGONWW2HEgnykYSwm2h5o-ERauOCoPwSsehf8XHa1C2XbN7QtaTPWwUc9VjNwNU2Tzf2GDtMQsKGZG7D4seR1OxY0b5tuDP5QXZOL0tUDro65JG-PD6_Jc7R7edomm13kBTMhEhy0NmAMCASJYJUzmctixXMhS2dlYZQoC2uRaVAMtchlqQ2DPJtnaCmX5PbX6xFx3_W-cf20P_4kvwFhBleN</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Chen Liu</creator><creator>Mengxin Liu</creator><creator>Zhengqiu Yang</creator><creator>Jiangpeng Xiu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20141101</creationdate><title>Study on the data integration platform of multi-regional SCADA system based on cloud computing</title><author>Chen Liu ; Mengxin Liu ; Zhengqiu Yang ; Jiangpeng Xiu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i208t-21766878872e73e795a8bab451c23fa93d852fd99e06750e62c3f6807cb928633</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Cloud computing</topic><topic>Data processing</topic><topic>Data warehouse</topic><topic>Distributed databases</topic><topic>Hadoop cluster</topic><topic>Load balancing</topic><topic>Parallel processing</topic><topic>Power generation</topic><topic>SCADA system</topic><topic>SCADA systems</topic><toplevel>online_resources</toplevel><creatorcontrib>Chen Liu</creatorcontrib><creatorcontrib>Mengxin Liu</creatorcontrib><creatorcontrib>Zhengqiu Yang</creatorcontrib><creatorcontrib>Jiangpeng Xiu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chen Liu</au><au>Mengxin Liu</au><au>Zhengqiu Yang</au><au>Jiangpeng Xiu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Study on the data integration platform of multi-regional SCADA system based on cloud computing</atitle><btitle>2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems</btitle><stitle>CCIS</stitle><date>2014-11-01</date><risdate>2014</risdate><spage>519</spage><epage>522</epage><pages>519-522</pages><issn>2376-5933</issn><eissn>2376-595X</eissn><isbn>1479947202</isbn><isbn>9781479947201</isbn><eisbn>1479944394</eisbn><eisbn>9781479947195</eisbn><eisbn>1479947199</eisbn><eisbn>9781479944392</eisbn><abstract>Through analyzing in the data characteristic of SCADA system and the demand of integrating lots of distributed power station data to analyze, propose a solution to build a high-performance parallel computing platform in process data of power station based on cloud computing technology. First, it presents a detailed description of the problems encountered in SCADA system, and an overview of the characteristics of cloud computing and related technologies. And then discuss the design of cloud computing platform from the physical composition, terms of system architecture, software technology. Furthermore, by setting up a test environment to compare the performance of this program on the storage capacity and query speed, and it proves to have high performance and strong scalability.</abstract><pub>IEEE</pub><doi>10.1109/CCIS.2014.7175791</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2376-5933 |
ispartof | 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, 2014, p.519-522 |
issn | 2376-5933 2376-595X |
language | eng |
recordid | cdi_ieee_primary_7175791 |
source | IEEE Xplore All Conference Series |
subjects | Cloud computing Data processing Data warehouse Distributed databases Hadoop cluster Load balancing Parallel processing Power generation SCADA system SCADA systems |
title | Study on the data integration platform of multi-regional SCADA system based on cloud computing |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T12%3A29%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Study%20on%20the%20data%20integration%20platform%20of%20multi-regional%20SCADA%20system%20based%20on%20cloud%20computing&rft.btitle=2014%20IEEE%203rd%20International%20Conference%20on%20Cloud%20Computing%20and%20Intelligence%20Systems&rft.au=Chen%20Liu&rft.date=2014-11-01&rft.spage=519&rft.epage=522&rft.pages=519-522&rft.issn=2376-5933&rft.eissn=2376-595X&rft.isbn=1479947202&rft.isbn_list=9781479947201&rft_id=info:doi/10.1109/CCIS.2014.7175791&rft.eisbn=1479944394&rft.eisbn_list=9781479947195&rft.eisbn_list=1479947199&rft.eisbn_list=9781479944392&rft_dat=%3Cieee_CHZPO%3E7175791%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i208t-21766878872e73e795a8bab451c23fa93d852fd99e06750e62c3f6807cb928633%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=7175791&rfr_iscdi=true |