Priority queue based polling mechanism on seismic equipment cluster monitoring
This paper proposes a passive monitoring system model suitable for seismic observation equipment cluster. Through detailed analysis and design of two key technologies affecting the performance of the system under this model, we pose the priority queue based (PQB) polling mechanism on the cluster nod...
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| Veröffentlicht in: | Cluster computing 2017-03, Vol.20 (1), p.611-619 |
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| container_title | Cluster computing |
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| creator | Wang, Xiaoming Du, Lijuan Zhang, Yong Zhao, Xuezhi Cheng, Xianzhou Tao, Yinglu |
| description | This paper proposes a passive monitoring system model suitable for seismic observation equipment cluster. Through detailed analysis and design of two key technologies affecting the performance of the system under this model, we pose the priority queue based (PQB) polling mechanism on the cluster node monitoring and the volatility-removed (VR) fault alarm mechanism. New polling mechanism initializes priorities of cluster nodes according to the importance of them, then put them into the polling queue according to the priority order, nodes with same priority follow FCFS algorithm, thus solving problems that important cluster nodes be monitored first. A formula judging whether equipment is in the fluctuant state is given by VR fault alarm mechanism, which improves the accuracy of the monitoring results. Finally, we build an experimental platform to analyze the data of PQB polling and VR warning mechanisms, the conclusion shows that the PQB increases the count of polling nodes than FCFS polling mechanism and VR is more close to the actual fault results than normal alarm mechanism. Furthermore, PQB and VR mechanisms have no significant impact on server performance. |
| doi_str_mv | 10.1007/s10586-017-0726-6 |
| format | Article |
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Through detailed analysis and design of two key technologies affecting the performance of the system under this model, we pose the priority queue based (PQB) polling mechanism on the cluster node monitoring and the volatility-removed (VR) fault alarm mechanism. New polling mechanism initializes priorities of cluster nodes according to the importance of them, then put them into the polling queue according to the priority order, nodes with same priority follow FCFS algorithm, thus solving problems that important cluster nodes be monitored first. A formula judging whether equipment is in the fluctuant state is given by VR fault alarm mechanism, which improves the accuracy of the monitoring results. Finally, we build an experimental platform to analyze the data of PQB polling and VR warning mechanisms, the conclusion shows that the PQB increases the count of polling nodes than FCFS polling mechanism and VR is more close to the actual fault results than normal alarm mechanism. Furthermore, PQB and VR mechanisms have no significant impact on server performance.</description><identifier>ISSN: 1386-7857</identifier><identifier>EISSN: 1573-7543</identifier><identifier>DOI: 10.1007/s10586-017-0726-6</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Clusters ; Computer Communication Networks ; Computer Science ; Earthquakes ; Microwave communications ; Monitoring ; Monitoring systems ; Nodes ; Open source software ; Operating Systems ; Polling schemes ; Processor Architectures ; Public domain ; Queues ; Spread spectrum</subject><ispartof>Cluster computing, 2017-03, Vol.20 (1), p.611-619</ispartof><rights>Springer Science+Business Media New York 2017</rights><rights>Springer Science+Business Media New York 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-761104f1d52a0598dfb0d30909e9221761086518c949850fb890f0ab771392d63</citedby><cites>FETCH-LOGICAL-c316t-761104f1d52a0598dfb0d30909e9221761086518c949850fb890f0ab771392d63</cites><orcidid>0000-0002-8328-3805</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10586-017-0726-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918271929?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21368,27903,27904,33723,41467,42536,43784,51298,64362,64366,72216</link.rule.ids></links><search><creatorcontrib>Wang, Xiaoming</creatorcontrib><creatorcontrib>Du, Lijuan</creatorcontrib><creatorcontrib>Zhang, Yong</creatorcontrib><creatorcontrib>Zhao, Xuezhi</creatorcontrib><creatorcontrib>Cheng, Xianzhou</creatorcontrib><creatorcontrib>Tao, Yinglu</creatorcontrib><title>Priority queue based polling mechanism on seismic equipment cluster monitoring</title><title>Cluster computing</title><addtitle>Cluster Comput</addtitle><description>This paper proposes a passive monitoring system model suitable for seismic observation equipment cluster. Through detailed analysis and design of two key technologies affecting the performance of the system under this model, we pose the priority queue based (PQB) polling mechanism on the cluster node monitoring and the volatility-removed (VR) fault alarm mechanism. New polling mechanism initializes priorities of cluster nodes according to the importance of them, then put them into the polling queue according to the priority order, nodes with same priority follow FCFS algorithm, thus solving problems that important cluster nodes be monitored first. A formula judging whether equipment is in the fluctuant state is given by VR fault alarm mechanism, which improves the accuracy of the monitoring results. Finally, we build an experimental platform to analyze the data of PQB polling and VR warning mechanisms, the conclusion shows that the PQB increases the count of polling nodes than FCFS polling mechanism and VR is more close to the actual fault results than normal alarm mechanism. Furthermore, PQB and VR mechanisms have no significant impact on server performance.</description><subject>Algorithms</subject><subject>Clusters</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Earthquakes</subject><subject>Microwave communications</subject><subject>Monitoring</subject><subject>Monitoring systems</subject><subject>Nodes</subject><subject>Open source software</subject><subject>Operating Systems</subject><subject>Polling schemes</subject><subject>Processor Architectures</subject><subject>Public domain</subject><subject>Queues</subject><subject>Spread spectrum</subject><issn>1386-7857</issn><issn>1573-7543</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1UEtLxDAQDqLguvoDvAU8V2eSTZMcZfEFoh70HPpI1yxt2k3aw_57Uyp48jQffI-Z-Qi5RrhFAHkXEYTKM0CZgWR5lp-QFQrJMyk2_DRhnliphDwnFzHuAUBLplfk7SO4PrjxSA-TnSwti2hrOvRt6_yOdrb6LryLHe09jTYBV1F7mNzQWT_Sqp3iaAPteu_GlOJ3l-SsKdpor37nmnw9Pnxun7PX96eX7f1rVnHMx0zmiLBpsBasAKFV3ZRQc9CgrWYMEw0qF6gqvdFKQFMqDQ0UpZTINatzviY3S-4Q-nR4HM2-n4JPKw3TqJhEzXRS4aKqQh9jsI0ZguuKcDQIZq7NLLWZVJuZazNzMls8cZgfsuEv-X_TD-shbxY</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Wang, Xiaoming</creator><creator>Du, Lijuan</creator><creator>Zhang, Yong</creator><creator>Zhao, Xuezhi</creator><creator>Cheng, Xianzhou</creator><creator>Tao, Yinglu</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0002-8328-3805</orcidid></search><sort><creationdate>20170301</creationdate><title>Priority queue based polling mechanism on seismic equipment cluster monitoring</title><author>Wang, Xiaoming ; Du, Lijuan ; Zhang, Yong ; Zhao, Xuezhi ; Cheng, Xianzhou ; Tao, Yinglu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-761104f1d52a0598dfb0d30909e9221761086518c949850fb890f0ab771392d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Clusters</topic><topic>Computer Communication Networks</topic><topic>Computer Science</topic><topic>Earthquakes</topic><topic>Microwave communications</topic><topic>Monitoring</topic><topic>Monitoring systems</topic><topic>Nodes</topic><topic>Open source software</topic><topic>Operating Systems</topic><topic>Polling schemes</topic><topic>Processor Architectures</topic><topic>Public domain</topic><topic>Queues</topic><topic>Spread spectrum</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Xiaoming</creatorcontrib><creatorcontrib>Du, Lijuan</creatorcontrib><creatorcontrib>Zhang, Yong</creatorcontrib><creatorcontrib>Zhao, Xuezhi</creatorcontrib><creatorcontrib>Cheng, Xianzhou</creatorcontrib><creatorcontrib>Tao, Yinglu</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Cluster computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Xiaoming</au><au>Du, Lijuan</au><au>Zhang, Yong</au><au>Zhao, Xuezhi</au><au>Cheng, Xianzhou</au><au>Tao, Yinglu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Priority queue based polling mechanism on seismic equipment cluster monitoring</atitle><jtitle>Cluster computing</jtitle><stitle>Cluster Comput</stitle><date>2017-03-01</date><risdate>2017</risdate><volume>20</volume><issue>1</issue><spage>611</spage><epage>619</epage><pages>611-619</pages><issn>1386-7857</issn><eissn>1573-7543</eissn><abstract>This paper proposes a passive monitoring system model suitable for seismic observation equipment cluster. Through detailed analysis and design of two key technologies affecting the performance of the system under this model, we pose the priority queue based (PQB) polling mechanism on the cluster node monitoring and the volatility-removed (VR) fault alarm mechanism. New polling mechanism initializes priorities of cluster nodes according to the importance of them, then put them into the polling queue according to the priority order, nodes with same priority follow FCFS algorithm, thus solving problems that important cluster nodes be monitored first. A formula judging whether equipment is in the fluctuant state is given by VR fault alarm mechanism, which improves the accuracy of the monitoring results. Finally, we build an experimental platform to analyze the data of PQB polling and VR warning mechanisms, the conclusion shows that the PQB increases the count of polling nodes than FCFS polling mechanism and VR is more close to the actual fault results than normal alarm mechanism. Furthermore, PQB and VR mechanisms have no significant impact on server performance.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10586-017-0726-6</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-8328-3805</orcidid></addata></record> |
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| subjects | Algorithms Clusters Computer Communication Networks Computer Science Earthquakes Microwave communications Monitoring Monitoring systems Nodes Open source software Operating Systems Polling schemes Processor Architectures Public domain Queues Spread spectrum |
| title | Priority queue based polling mechanism on seismic equipment cluster monitoring |
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