Skip to main content

2017 | OriginalPaper | Buchkapitel

Concept of Distributed Processing System of Image Flow

verfasst von : Aleksey Kondratyev, Igor Tishchenko

Erschienen in: Robot Intelligence Technology and Applications 4

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The paper describes a concept of software tools for data stream processing. The tools can be used to implement parallel processing systems. Description of the task is presented in the first part of paper. The system is based on pipeline parallelism and was distributed for using on a cluster computer. The paper describes a base scheme and a main work algorithm of the system. An actual application example is presented. The system has some weak sides which are described at the end of paper. Direction of future research is presented at the end of the article.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
2.
Zurück zum Zitat Stepanov, D.N., Kiryushina, A.E., Ivanov, E.S., Kondratiev, A.A.: Software for pipeline parallel processing of remote sensing data in the cluster computing installations and graphics processing unit. In: Proceedings of Junior research and development conference of Ailamazyan Pereslavl university, Pereslavl, SIT-2014, pp. 5–20 (2014). https://edu.botik.ru/proceedings/sit2014.pdf Stepanov, D.N., Kiryushina, A.E., Ivanov, E.S., Kondratiev, A.A.: Software for pipeline parallel processing of remote sensing data in the cluster computing installations and graphics processing unit. In: Proceedings of Junior research and development conference of Ailamazyan Pereslavl university, Pereslavl, SIT-2014, pp. 5–20 (2014). https://​edu.​botik.​ru/​proceedings/​sit2014.​pdf
6.
Zurück zum Zitat Czajkowski, K., Foster, I.: A resource management architecture for metacomputing system. In: Job Scheduling Strategies for Parallel Processing (JSSPP 1998): Proceedings of the 4th Workshop, Orlando, Florida, USA, 30 March 1998 Czajkowski, K., Foster, I.: A resource management architecture for metacomputing system. In: Job Scheduling Strategies for Parallel Processing (JSSPP 1998): Proceedings of the 4th Workshop, Orlando, Florida, USA, 30 March 1998
7.
Zurück zum Zitat Seredynski, F., Zomaya, A.Y.: Sequential and parallel cellular automata-based scheduling algorithms. In: IEEE Trans. Parallel Distrib. Syst. 13(10) (2002) Seredynski, F., Zomaya, A.Y.: Sequential and parallel cellular automata-based scheduling algorithms. In: IEEE Trans. Parallel Distrib. Syst. 13(10) (2002)
8.
Zurück zum Zitat Li, K., Tang, X., Li, K.: Energy-efficient stochastic task scheduling on heterogeneous computing systems. IEEE Trans. Parallel Distrib. Syst. 1. doi:10.1109/TPDS.2013.270 Li, K., Tang, X., Li, K.: Energy-efficient stochastic task scheduling on heterogeneous computing systems. IEEE Trans. Parallel Distrib. Syst. 1. doi:10.​1109/​TPDS.​2013.​270
11.
Zurück zum Zitat Marshall, P., Keahey, K., Freeman, T.: Improving utilization of infrastructure clouds. In: Cluster, Cloud and Grid Computing (CCGrid 2011): Proceedings of the IEEE/ACM International Symposium, Newport Beach, CA, USA, 23–26 May 2011 Marshall, P., Keahey, K., Freeman, T.: Improving utilization of infrastructure clouds. In: Cluster, Cloud and Grid Computing (CCGrid 2011): Proceedings of the IEEE/ACM International Symposium, Newport Beach, CA, USA, 23–26 May 2011
12.
Zurück zum Zitat Tyutlyaeva, E., Kurin, E., Moskovsky, A., Konuhov, S.: Abstract: using active storage concept for seismic data processing. In: High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion, pp. 1389–1390 (2012) Tyutlyaeva, E., Kurin, E., Moskovsky, A., Konuhov, S.: Abstract: using active storage concept for seismic data processing. In: High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion, pp. 1389–1390 (2012)
13.
Zurück zum Zitat Iverson, M., Ozguner, F.: Dynamic, competitive scheduling of multiple DAGs in a distributed heterogeneous environment. In: Proceedings of Seventh Heterogeneous Computing Workshop, Orlando, Florida, USA, pp. 70–78. IEEE Computer Society, 30 March 1998 Iverson, M., Ozguner, F.: Dynamic, competitive scheduling of multiple DAGs in a distributed heterogeneous environment. In: Proceedings of Seventh Heterogeneous Computing Workshop, Orlando, Florida, USA, pp. 70–78. IEEE Computer Society, 30 March 1998
14.
Zurück zum Zitat Maheswaran, M., Ali, S.: Dynamic matching and scheduling of a class of independent tasks onto heterogeneous computing systems. J. Parallel Distrib. Comput. 59(2), 107–131 (1999)CrossRef Maheswaran, M., Ali, S.: Dynamic matching and scheduling of a class of independent tasks onto heterogeneous computing systems. J. Parallel Distrib. Comput. 59(2), 107–131 (1999)CrossRef
15.
Zurück zum Zitat Baker, M., Buyya, R., Laforenza, D.: Grids and grid technologies for wide-area distributed computing. J. Softw. Pract. Experience 32(15), 1437–1466 (2002)CrossRefMATH Baker, M., Buyya, R., Laforenza, D.: Grids and grid technologies for wide-area distributed computing. J. Softw. Pract. Experience 32(15), 1437–1466 (2002)CrossRefMATH
Metadaten
Titel
Concept of Distributed Processing System of Image Flow
verfasst von
Aleksey Kondratyev
Igor Tishchenko
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-31293-4_38

Premium Partner