Using a Predator-Prey Model to Explain Variations of Cloud Spot Price

Zheng Li; William Tärneberg; Maria Kihl; Anders Robertsson

Using a Predator-Prey Model to Explain Variations of Cloud Spot Price

Zheng Li, William Tärneberg, Maria Kihl, Anders Robertsson

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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Abstract

The spot pricing scheme has been considered to be resource-efficient for providers and cost-effective for consumers in the Cloud market. Nevertheless, unlike the static and straightforward strategies of trading on-demand and reserved Cloud services, the market-driven mechanism for trading spot service would be complicated for both implementation and understanding. The largely invisible market activities and their complex interactions could especially make Cloud consumers hesitate to enter the spot market. To reduce the complexity in understanding the Cloud spot market, we decided to reveal the backend information behind spot price variations. Inspired by the methodology of reverse engineering, we developed a Predator-Prey model that can simulate the interactions between demand and resource based on the visible spot price traces. The simulation results have shown some basic regular patterns of market activities with respect to Amazon’s spot instance type m3.large. Although the findings of this study need further validation by using practical data, our work essentially suggests a promising approach (i.e. using a Predator-Prey model) to investigate spot market activities.

Original language	English
Title of host publication	Proceedings of the 6th International Conference on Cloud Computing and Services Science (CLOSER 2016)
Publisher	SciTePress
Pages	1-8
Number of pages	8
Publication status	Published - 2016
Event	6th International Conference on Cloud Computing and Services Science, CLOSER 2016 - Rome, Italy Duration: 2016 Apr 23 → 2016 Apr 25

Conference

Conference	6th International Conference on Cloud Computing and Services Science, CLOSER 2016
Country/Territory	Italy
City	Rome
Period	2016/04/23 → 2016/04/25

Subject classification (UKÄ)

Electrical Engineering, Electronic Engineering, Information Engineering

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Using a Predator-Prey Model to Explain Variations of Cloud Spot PriceAccepted author manuscript, 588 KB

EIT_VR CLOUD Cloud Control
Papadopoulos, A. V. (Researcher), Robertsson, A. (Researcher), Åkesson, J. (Researcher), Årzén, K.-E. (Researcher), Maggio, M. (Researcher), Dellkrantz, M. (Researcher), Tärneberg, W. (Researcher), Li, Z. (Researcher), Dürango, J. (Researcher) & Kihl, M. (Researcher)
2013/01/01 → 2016/12/31
Project: Research
LCCC
Holmqvist, A. (Researcher), Andersson, N. (Researcher), Cervin, A. (Researcher), Mannesson, A. (Researcher), Gattami, A. (Researcher), Ghulchak, A. (Researcher), Papadopoulos, A. V. (Researcher), Rantzer, A. (Researcher), Robertsson, A. (Researcher), Sootla, A. (Researcher), THEORIN, A. (Researcher), Bernhardsson, B. (Researcher), Olofsson, B. (Researcher), Wittenmark, B. (Researcher), Grussler, C. (Researcher), Johnsson, C. (Researcher), MADJIDIAN, D. (Researcher), Johannesson, E. (Researcher), Magnusson, F. (Researcher), Ståhl, F. (Researcher), Como, G. (Researcher), Chasparis, G. (Researcher), Turesson, G. (Researcher), Dressler, I. (Researcher), Åkesson, J. (Researcher), Cho, J. H. (Researcher), Årzén, K.-E. (Researcher), Åström, K. J. (Researcher), Sou, K. C. (Researcher), Mårtensson, K. (Researcher), Berntorp, K. (Researcher), Soltesz, K. (Researcher), Lessard, L. (Researcher), Hast, M. (Researcher), Rönn, M. (Researcher), Ansbjerg Kjær, M. (Researcher), Maggio, M. (Researcher), Kristalny, M. (Researcher), Garpinger, O. (Researcher), From, P. J. (Researcher), Larsson, P.-O. (Researcher), Giselsson, P. (Researcher), Johansson, R. (Researcher), Hägglund, T. (Researcher), Vladimerou, V. (Researcher), Romero Segovia, V. (Researcher), Aurelius, A. (Researcher), Cedersjö, G. (Researcher), Bür, K. (Researcher), Dellkrantz, M. (Researcher), Du, M. (Researcher), Amani, P. (Researcher), Larsson, R. (Researcher), Tärneberg, W. (Research student), Li, Z. (Researcher), Yin, L. (Researcher), Tufvesson, F. (Researcher), Höst, S. (Researcher), Nilsson, B. (Researcher), Stenström, S. (Researcher), Andersson, J. A. (Researcher), Diehl, S. (Researcher), Dürango, J. (Researcher), Ghazaei Ardakani, M. (Researcher), Forsberg, P.-O. (Researcher), Bengtsson, F. (Researcher), Jörntell, H. (Researcher), Arévalo, C. (Researcher), Führer, C. (Researcher), Andersson, C. (Researcher), Mohammadi, F. (Researcher), Ödling, P. (Researcher), Andersson, M. (Researcher), Kihl, M. (Researcher) & Tunestål, P. (Researcher)
2008/07/01 → 2018/06/30
Project: Research

Cite this

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title = "Using a Predator-Prey Model to Explain Variations of Cloud Spot Price",

abstract = "The spot pricing scheme has been considered to be resource-efficient for providers and cost-effective for consumers in the Cloud market. Nevertheless, unlike the static and straightforward strategies of trading on-demand and reserved Cloud services, the market-driven mechanism for trading spot service would be complicated for both implementation and understanding. The largely invisible market activities and their complex interactions could especially make Cloud consumers hesitate to enter the spot market. To reduce the complexity in understanding the Cloud spot market, we decided to reveal the backend information behind spot price variations. Inspired by the methodology of reverse engineering, we developed a Predator-Prey model that can simulate the interactions between demand and resource based on the visible spot price traces. The simulation results have shown some basic regular patterns of market activities with respect to Amazon{\textquoteright}s spot instance type m3.large. Although the findings of this study need further validation by using practical data, our work essentially suggests a promising approach (i.e. using a Predator-Prey model) to investigate spot market activities.",

author = "Zheng Li and William T{\"a}rneberg and Maria Kihl and Anders Robertsson",

year = "2016",

language = "English",

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booktitle = "Proceedings of the 6th International Conference on Cloud Computing and Services Science (CLOSER 2016)",

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T1 - Using a Predator-Prey Model to Explain Variations of Cloud Spot Price

AU - Li, Zheng

AU - Tärneberg, William

AU - Kihl, Maria

AU - Robertsson, Anders

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Y1 - 2016

N2 - The spot pricing scheme has been considered to be resource-efficient for providers and cost-effective for consumers in the Cloud market. Nevertheless, unlike the static and straightforward strategies of trading on-demand and reserved Cloud services, the market-driven mechanism for trading spot service would be complicated for both implementation and understanding. The largely invisible market activities and their complex interactions could especially make Cloud consumers hesitate to enter the spot market. To reduce the complexity in understanding the Cloud spot market, we decided to reveal the backend information behind spot price variations. Inspired by the methodology of reverse engineering, we developed a Predator-Prey model that can simulate the interactions between demand and resource based on the visible spot price traces. The simulation results have shown some basic regular patterns of market activities with respect to Amazon’s spot instance type m3.large. Although the findings of this study need further validation by using practical data, our work essentially suggests a promising approach (i.e. using a Predator-Prey model) to investigate spot market activities.

AB - The spot pricing scheme has been considered to be resource-efficient for providers and cost-effective for consumers in the Cloud market. Nevertheless, unlike the static and straightforward strategies of trading on-demand and reserved Cloud services, the market-driven mechanism for trading spot service would be complicated for both implementation and understanding. The largely invisible market activities and their complex interactions could especially make Cloud consumers hesitate to enter the spot market. To reduce the complexity in understanding the Cloud spot market, we decided to reveal the backend information behind spot price variations. Inspired by the methodology of reverse engineering, we developed a Predator-Prey model that can simulate the interactions between demand and resource based on the visible spot price traces. The simulation results have shown some basic regular patterns of market activities with respect to Amazon’s spot instance type m3.large. Although the findings of this study need further validation by using practical data, our work essentially suggests a promising approach (i.e. using a Predator-Prey model) to investigate spot market activities.

M3 - Paper in conference proceeding

SP - 1

EP - 8

BT - Proceedings of the 6th International Conference on Cloud Computing and Services Science (CLOSER 2016)

PB - SciTePress

T2 - 6th International Conference on Cloud Computing and Services Science, CLOSER 2016

Y2 - 23 April 2016 through 25 April 2016

ER -

Using a Predator-Prey Model to Explain Variations of Cloud Spot Price

Abstract

Conference

Subject classification (UKÄ)

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EIT_VR CLOUD Cloud Control

LCCC

Cite this