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International Symposium on Security in Computing and Communication

SSCC 2016: Security in Computing and Communications pp 173–187Cite as

Cloud Resources Optimization for Air Pollution Monitoring Devices and Avoiding Post Pillar Problem

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 625))

Abstract

Cloud Computing is 21st century’s precious gem that is revolutionizing the computing world. Cloud computing is progressively transforming the world through its wide applicability in diverse fields. One such field is environment monitoring. Today cloud computing is being utilized for monitoring the air pollution levels in association with different sensory devices and aid the ecologists around the globe to derive subtle ways to lower down its impact factor. But the major problem with such noble application is the elasticity factor of resource provision in cloud for handling the gargantuan amount of data that is generated by sensors. This elasticity cause troublesome to the service provider as the need of resources are very erratic and spontaneous. In this paper we present an algorithmic technique that attempts to quash this problem and provide a way to optimally allocate and utilize the resources. The evaluated simulation results reveals a very positive side and suggest an increase in utilization factor by 25 %–40 %.

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Author information

Authors and Affiliations

  1. Computer Science Department, Guru Nanak Dev University, Regional Campus, Jalandhar, India

    Parampreet Singh & Pankaj Deep Kaur

Authors
  1. Parampreet Singh
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  2. Pankaj Deep Kaur
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Corresponding author

Correspondence to Parampreet Singh .

Editor information

Editors and Affiliations

  1. IBM ZURICH RESEARCH LABORATORY, IBM ZURICH RESEARCH LABORATORY, RUESCHLIKON, Switzerland

    Peter Mueller

  2. Technology and Management, Indian Institute of Information Technology and Management, Kerala, India

    Sabu M. Thampi

  3. Temple University, New York, New York, USA

    Md Zakirul Alam Bhuiyan

  4. Computer Science, University of Waikato Computer Science, Hamilton, New Zealand

    Ryan Ko

  5. Deakin University , Burwood, Victoria, Australia

    Robin Doss

  6. University of the West of Scotland , Paisley, Glasgow, United Kingdom

    Jose M. Alcaraz Calero

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© 2016 Springer Nature Singapore Pte Ltd.

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Cite this paper

Singh, P., Kaur, P.D. (2016). Cloud Resources Optimization for Air Pollution Monitoring Devices and Avoiding Post Pillar Problem. In: Mueller, P., Thampi, S., Alam Bhuiyan, M., Ko, R., Doss, R., Alcaraz Calero, J. (eds) Security in Computing and Communications. SSCC 2016. Communications in Computer and Information Science, vol 625. Springer, Singapore. https://doi.org/10.1007/978-981-10-2738-3_15

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  • DOI: https://doi.org/10.1007/978-981-10-2738-3_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2737-6

  • Online ISBN: 978-981-10-2738-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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