Scaling in cloud environments

  • Authors:

  • Dominique Bellenger;Jens Bertram;Andy Budina;Arne Koschel;Benjamin Pfänder;Carsten Serowy;Irina Astrova;Stella Gatziu Grivas;Marc Schaaf

  • Affiliations:

  • Faculty IV, Department of Computer Science, University of Applied Sciences and Arts Hannover, Hannover, Germany;Faculty IV, Department of Computer Science, University of Applied Sciences and Arts Hannover, Hannover, Germany;Faculty IV, Department of Computer Science, University of Applied Sciences and Arts Hannover, Hannover, Germany;Faculty IV, Department of Computer Science, University of Applied Sciences and Arts Hannover, Hannover, Germany;Faculty IV, Department of Computer Science, University of Applied Sciences and Arts Hannover, Hannover, Germany;Faculty IV, Department of Computer Science, University of Applied Sciences and Arts Hannover, Hannover, Germany;InVision Software OÜ, Tallinn, Estonia;Institute for Information Systems, University of Applied Sciences Northwestern Switzerland, Olten, Switzerland;Institute for Information Systems, University of Applied Sciences Northwestern Switzerland, Olten, Switzerland

  • Venue:
  • Proceedings of the 15th WSEAS international conference on Computers
  • Year:
  • 2011

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Abstract

This paper describes two approaches to scaling in cloud environments - semi-automatic (also called by request) and automatic (also called on demand) - and explains why the latter is to prefer. Semi-automatic scaling is illustrated with an example of Amazon Elastic Compute Cloud, whereas automatic scaling is illustrated with an example of Amazon Web Services Elastic Beanstalk.