Skip to main content

Benchmarking

  • Chapter
  • First Online:
Optimized Cloud Based Scheduling

Part of the book series: Studies in Computational Intelligence ((DSCC,volume 759))

  • 680 Accesses

Abstract

Three public clouds was benchmarked which are Microsoft Azure, Amazon EC2 and the Australian National eResearch Collaboration Tools and Resources (NECTAR). NECTAR is an Australian Government project to provide public cloud resources to Australian Universities. The other player of choice among both Industry and Academic Institutions is Amazon Public Cloud or commonly known as Amazon EC2 which is a subsidiary of retail giant Amazon.com. The main reason the Amazon EC2 is popular with both academia and industry is because Amazon was an early pioneer in providing public cloud services. Compared to both NECTAR and Amazon Public Cloud, Microsoft Azure is a relative newcomer only starting to provide its services in 2012.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amandeep S. Sidhu .

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Tan, R., Leong, J.A., Sidhu, A.S. (2018). Benchmarking. In: Optimized Cloud Based Scheduling. Studies in Computational Intelligence(), vol 759. Springer, Cham. https://doi.org/10.1007/978-3-319-73214-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-73214-5_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73212-1

  • Online ISBN: 978-3-319-73214-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics