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On Cloud Spot Market: An Overview of the Research

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Intelligent Cloud Computing (ICC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8993))

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Abstract

In Cloud computing, Infrastructure-as-a-Service (IaaS) can be purchased with three pricing schemes, namely reserved pricing, on-demand pricing and spot pricing. Within the spot pricing model, the spot Cloud resources usually refer to the spare compute capacity that can be auctioned in a spot market. A commercial spot market has been established since Amazon launched its spot instance service. Unlike the straightforward fixed-price schemes, the market-driven mechanism behind spot pricing is inevitably sophisticated for both Cloud consumers and providers. In addition, the de facto vendor Amazon does not disclose any backend detail except for its recent spot price history. To help practitioners better understand the spot market and help researchers identify research opportunities, we focused on Amazon’s spot service and investigated the relevant studies of the Cloud spot market. The result of our investigation has been organized and summarized into an overview of the current research, as described in this chapter.

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Acknowledgments

NICTA is funded by the Australian Government through the Department of Communications and the Australian Research Council through the ICT Centre of Excellence Program. NICTA is also funded and supported by the Australian Capital Territory, the New South Wales, Queensland and Victorian Governments, the Australian National University, the University of New South Wales, the University of Melbourne, the University of Queensland, the University of Sydney, Griffith University, Queensland University of Technology, Monash University and other university partners.

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Correspondence to Zheng Li .

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Li, Z., O’Brien, L., Ranjan, R., Flint, S., Zomaya, A.Y. (2015). On Cloud Spot Market: An Overview of the Research. In: Al-Saidi, A., Fleischer, R., Maamar, Z., Rana, O. (eds) Intelligent Cloud Computing. ICC 2014. Lecture Notes in Computer Science(), vol 8993. Springer, Cham. https://doi.org/10.1007/978-3-319-19848-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-19848-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19847-7

  • Online ISBN: 978-3-319-19848-4

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