Taming Replication Latency of Big Data Events with Capacity Planning.
Ensuring low replication latency of database events is business-critical but challenging with big data. A proposed capacity-planning model helps achieve this goal by forecasting future traffic rates, predicting replication latency, and determining required replication capacity. The Web extra at http...
| Publicado en: | Computer (00189162) Vol. 48; no. 3; pp. 36 - 42 |
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| Autores principales: | , , |
| Formato: | Artículo |
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IEEE
Mar2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=101734415&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 101734415 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Mar2015 vid: 48 iid: 3 pid: 13605 pub: IEEE artinfo: ui: 101734415 10.1109/MC.2015.88 ppf: 36 ppct: 6 formats: tig: atl: Taming Replication Latency of Big Data Events with Capacity Planning. aug: au: Zhuang, Zhenyun Ramachandra, Haricharan Xiong, Chaoyue affil: LinkedIn su: Database administration Big data Replication (Experimental design) Software measurement Database management sug: subj: Database administration Big data Replication (Experimental design) Software measurement Database management keyword: ARIMA autoregressive integrated moving average Capacity planning Data models database replication graph databases high-performance computing Internet/Web technologies multithreading Predictive models replication latency Soci SPARQL time-series decomposition RDF databases traffic rate forecasting ab: Ensuring low replication latency of database events is business-critical but challenging with big data. A proposed capacity-planning model helps achieve this goal by forecasting future traffic rates, predicting replication latency, and determining required replication capacity. The Web extra at http://youtu.be/ZupPlrS8dGA is a video of in which author Zhenyun Zhuang demonstrates Naarad, an open-source performance analysis tool (https://github.com/linkedin/naarad) written in python that analyzes various metrics (gc, sar, Jmeter etc), evaluates SLAs and generates a user friendly report to aid in performance analysis and investigations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
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