High performance online key performance indicator's calculations in oil refineries

It is critical in Oil Refineries to monitor the process online by several departments with respect to various perspectives. Key performance indicators generated by conversion of sensor - based measurements into meaningful data fulfill this requirement. However, the performance indicators must be pro...

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Vydané v:Signal Processing and Communications Applications Conference s. 415 - 418
Hlavní autori: Bakir, Mustafa, Sevilgen, Fatih Erdogan
Médium: Konferenčný príspevok..
Jazyk:English
Turkish
Vydavateľské údaje: IEEE 01.05.2015
Predmet:
Big data
Business
Libraries
Monitoring
Oil refineries
Optimization
Petroleum
ISSN:2165-0608
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Abstract It is critical in Oil Refineries to monitor the process online by several departments with respect to various perspectives. Key performance indicators generated by conversion of sensor - based measurements into meaningful data fulfill this requirement. However, the performance indicators must be provided to the users online. In this article, we discuss code optimization and parallelization of key performance indicator's calculation. By using these methods we obtained %96 improvement against the initial algorithm and %55 improvement against the optimal sequential algorithm in the performance of the system.
AbstractList It is critical in Oil Refineries to monitor the process online by several departments with respect to various perspectives. Key performance indicators generated by conversion of sensor - based measurements into meaningful data fulfill this requirement. However, the performance indicators must be provided to the users online. In this article, we discuss code optimization and parallelization of key performance indicator's calculation. By using these methods we obtained %96 improvement against the initial algorithm and %55 improvement against the optimal sequential algorithm in the performance of the system.
Author Bakir, Mustafa
Sevilgen, Fatih Erdogan
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  givenname: Fatih Erdogan
  surname: Sevilgen
  fullname: Sevilgen, Fatih Erdogan
  email: sevilgen@gyte.edu.tr
  organization: Bilgisayar Muhendisligi, Gebze Teknik Univ., Gebze, Turkey
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Snippet It is critical in Oil Refineries to monitor the process online by several departments with respect to various perspectives. Key performance indicators...
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StartPage 415
SubjectTerms Big data
Business
Libraries
Monitoring
Oil refineries
Optimization
Petroleum
Title High performance online key performance indicator's calculations in oil refineries
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