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Big Data Analytics pp 481–485Cite as

Optimized Cost Model with Optimal Disk Usage for Cloud

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 654))

Abstract

Cloud is a bag full of resources. Using cloud services at an optimal level is required as now cloud is primary technology for deployment over Internet. This is indeed a practice to make use of things efficiently to make cloud a better place. Cloud is providing all computing resources that one may need to compile tasks, but efficiently using of resources can increase the power to accommodate more consumers and also consumer can save on cost for the services subscribed. This paper provides a mechanism to increase or decrease the subscription as per the use.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Gurukula Kangri Vishwavidyalaya, Haridwar, India

    Mayank Aggrawal

  2. Faculty of Technology, Gurukula Kangri Vishwavidyalaya, Haridwar, India

    Nishant Kumar & Raj Kumar

Authors
  1. Mayank Aggrawal
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  2. Nishant Kumar
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  3. Raj Kumar
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Corresponding author

Correspondence to Mayank Aggrawal .

Editor information

Editors and Affiliations

  1. Jagan Institute of Management Studies, New Delhi, Delhi, India

    V. B. Aggarwal

  2. Department of Computer Science, University of Delhi, New Delhi, Delhi, India

    Vasudha Bhatnagar

  3. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Aggrawal, M., Kumar, N., Kumar, R. (2018). Optimized Cost Model with Optimal Disk Usage for Cloud. In: Aggarwal, V., Bhatnagar, V., Mishra, D. (eds) Big Data Analytics. Advances in Intelligent Systems and Computing, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-10-6620-7_46

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  • DOI: https://doi.org/10.1007/978-981-10-6620-7_46

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6619-1

  • Online ISBN: 978-981-10-6620-7

  • eBook Packages: EngineeringEngineering (R0)

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