Skip to main content

Computation of Large Datasets

  • Chapter
  • First Online:
Optimized Cloud Based Scheduling

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

  • 501 Accesses

Abstract

With our solution, existing IT solutions of enterprises can be integrated with the cloud hence increasing the breadth of applications supported and improving performance with reduced additional overhead since additional storage and computing power become easily available on demand. This capability will be demonstrated by the prototype created at the end of the project.

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). Computation of Large Datasets. In: Optimized Cloud Based Scheduling. Studies in Computational Intelligence(), vol 759. Springer, Cham. https://doi.org/10.1007/978-3-319-73214-5_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-73214-5_4

  • 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