Skip to main content

2020 | OriginalPaper | Buchkapitel

Scheduling in Cloud Computing Environment using Metaheuristic Techniques: A Survey

verfasst von : Harvinder Singh, Sanjay Tyagi, Pardeep Kumar

Erschienen in: Emerging Technology in Modelling and Graphics

Verlag: Springer Singapore

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

search-config
loading …

Abstract

Cloud computing has become a burning topic for research these days. To reap the full benefits of cloud computing, a wider perspective of thinking and study is required from a researcher. A vital part of this cloud innovation is that it has given the solid development and movement to the computational environment like scheduling. Scheduling tends to the proficient administration and usage of the extensive amount of processing assets. Being an example of N-P category, scheduling maps the tasks to appropriate resources for delivering an optimized solution. Cloud technology paves a way to provides sub-optimal solutions within a short time period. Metaheuristic-based techniques are one of the ways through which solutions can be achieved efficiently even for hard optimization problems. The present work provides an analysis and discussion based on extensive study of various metaheuristic techniques. In addition, various parameters are identified and explored, that plays a vital role in the scheduling of tasks in a cloud environment.

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
8.
Zurück zum Zitat T. Arora, Y. Gigras, A survey of comparison between various Meta. Int. J. Comput. Eng. Sci. 3(2), 62–66 (2013) T. Arora, Y. Gigras, A survey of comparison between various Meta. Int. J. Comput. Eng. Sci. 3(2), 62–66 (2013)
9.
Zurück zum Zitat M. Kalra, S. Singh, A review of metaheuristic scheduling techniques in cloud computing. Egypt. informatics J. 16(3), 275–295 (2015)CrossRef M. Kalra, S. Singh, A review of metaheuristic scheduling techniques in cloud computing. Egypt. informatics J. 16(3), 275–295 (2015)CrossRef
15.
Zurück zum Zitat S. Binitha, S.S. Sathya, Others: A survey of bio inspired optimization algorithms. Int. J. Soft Comput. Eng. 2(2), 137–151 (2012) S. Binitha, S.S. Sathya, Others: A survey of bio inspired optimization algorithms. Int. J. Soft Comput. Eng. 2(2), 137–151 (2012)
16.
Zurück zum Zitat T. Mathew, K.C. Sekaran, J. Jose, Study and analysis of various task scheduling algorithms in the cloud computing environment, in 2014 International Conference on Advances in Computer Communication and Informatics (ICACCI), IEEE, pp. 658–664. (2014) T. Mathew, K.C. Sekaran, J. Jose, Study and analysis of various task scheduling algorithms in the cloud computing environment, in 2014 International Conference on Advances in Computer Communication and Informatics (ICACCI), IEEE, pp. 658–664. (2014)
17.
Zurück zum Zitat C.W. Tsai, J.J.P.C. Rodrigues, Metaheuristic scheduling for cloud: a survey. IEEE Syst. J. 8(1), 279–291 (2014)CrossRef C.W. Tsai, J.J.P.C. Rodrigues, Metaheuristic scheduling for cloud: a survey. IEEE Syst. J. 8(1), 279–291 (2014)CrossRef
21.
Zurück zum Zitat L. Shakkeera, L. Tamilselvan, QoS and load balancing aware task scheduling framework for mobile cloud computing environment 10, 4 (2016) L. Shakkeera, L. Tamilselvan, QoS and load balancing aware task scheduling framework for mobile cloud computing environment 10, 4 (2016)
26.
Zurück zum Zitat P. Agarwal, S. Mehta, Nature-inspired algorithms: state-of-art, problems and prospects. Nature 100(14), (2014)CrossRef P. Agarwal, S. Mehta, Nature-inspired algorithms: state-of-art, problems and prospects. Nature 100(14), (2014)CrossRef
27.
Zurück zum Zitat L. Zuo, L. Shu, S. Dong, C. Zhu, T. Hara, A multi-objective optimization scheduling method based on the ant colony algorithm in cloud computing. IEEE Access 3, 2687–2699 (2015)CrossRef L. Zuo, L. Shu, S. Dong, C. Zhu, T. Hara, A multi-objective optimization scheduling method based on the ant colony algorithm in cloud computing. IEEE Access 3, 2687–2699 (2015)CrossRef
30.
Metadaten
Titel
Scheduling in Cloud Computing Environment using Metaheuristic Techniques: A Survey
verfasst von
Harvinder Singh
Sanjay Tyagi
Pardeep Kumar
Copyright-Jahr
2020
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-7403-6_66