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Review of Quality of Service Based Techniques in Cloud Computing

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Data Science and Big Data Analytics

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 16))

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Abstract

Nowadays cloud computing is an emerging technology for enhancing our daily life. cloud computing provides the facility to pay for use. There are some important service providers in cloud computing such as IBM, Google, Amazon, Microsoft, etc., these service providers give the different services to the users. Cloud providers offer services to the users based on the expected quality requirements, So it is a big challenge of cloud to provide enhanced Quality of Service (QoS) to their users. In this paper, we are presenting main existing research work of different QoS management techniques in cloud computing and also compare them with their strength and weakness. This review will be helpful for new researchers in this field to get exposure of quality of service based management techniques.

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Author information

Authors and Affiliations

  1. Dr. APJ. Abdul Kalam Technical University, Lucknow, India

    Geeta

  2. Department of Computer Science & Engineering, M.M.M. University of Technology, Gorakhpur, India

    Shiva Prakash

Authors
  1. Geeta
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  2. Shiva Prakash
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Corresponding author

Correspondence to Geeta .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  2. School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

  3. Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Aynur Unal

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Geeta, Prakash, S. (2019). Review of Quality of Service Based Techniques in Cloud Computing. In: Mishra, D., Yang, XS., Unal, A. (eds) Data Science and Big Data Analytics. Lecture Notes on Data Engineering and Communications Technologies, vol 16. Springer, Singapore. https://doi.org/10.1007/978-981-10-7641-1_22

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