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An economic model for green cloud

Published: 03 December 2012 Publication History

Abstract

A novel economic model for cloud-based services is presented that: (i) transparently presents energy demands (of services) to the customers in a simple abstract form, called green point, which is understandable to any general user; (ii) provides economic incentives (through dynamic discounts) as motivations for customers to select greener configuration; and (iii) offers service prices to customers such that the profit of cloud vendor is maximized while providing the discounts. Price is differentiated for different classes of customers (e.g. gold, silver, and bronze) and dynamic based on posterior distribution on resource demand considering both current demand and willingness toward green configuration. The model enables a paradigm shift in cloud service offering that provides higher transparency and control knobs to users for greener configuration. Preliminary results indicate higher profit using the proposed model compared to static pricing in existing pay-per-use service offerings.

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Cited By

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  • (2024)Agnostic Energy Consumption Models for Heterogeneous GPUs in Cloud ComputingApplied Sciences10.3390/app1406238514:6(2385)Online publication date: 12-Mar-2024
  • (2018)Energy-based Cost Model of Virtual Machines in a Cloud Environment2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT)10.1109/ISIICT.2018.8613288(1-8)Online publication date: Oct-2018
  • (2017)Energy Prediction for Cloud Workload PatternsEconomics of Grids, Clouds, Systems, and Services10.1007/978-3-319-61920-0_12(160-174)Online publication date: 2-Jul-2017
  • Show More Cited By

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Published In

cover image ACM Other conferences
MGC '12: Proceedings of the 10th International Workshop on Middleware for Grids, Clouds and e-Science
December 2012
62 pages
ISBN:9781450316088
DOI:10.1145/2405136
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • USENIX Assoc: USENIX Assoc
  • IFIP

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 December 2012

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Author Tags

  1. cloud computing
  2. economic model
  3. green computing

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  • Research-article

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Middleware '12
Sponsor:
  • USENIX Assoc
Middleware '12: 13th International Middleware Conference
December 3 - 7, 2012
Quebec, Montreal, Canada

Acceptance Rates

MGC '12 Paper Acceptance Rate 9 of 23 submissions, 39%;
Overall Acceptance Rate 14 of 36 submissions, 39%

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Cited By

View all
  • (2024)Agnostic Energy Consumption Models for Heterogeneous GPUs in Cloud ComputingApplied Sciences10.3390/app1406238514:6(2385)Online publication date: 12-Mar-2024
  • (2018)Energy-based Cost Model of Virtual Machines in a Cloud Environment2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT)10.1109/ISIICT.2018.8613288(1-8)Online publication date: Oct-2018
  • (2017)Energy Prediction for Cloud Workload PatternsEconomics of Grids, Clouds, Systems, and Services10.1007/978-3-319-61920-0_12(160-174)Online publication date: 2-Jul-2017
  • (2015)RISCProceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium10.1109/IPDPS.2015.72(1107-1116)Online publication date: 25-May-2015
  • (2014)CloudRank: A statistical modelling framework for characterizing user behaviour towards targeted cloud management2014 IEEE Network Operations and Management Symposium (NOMS)10.1109/NOMS.2014.6838349(1-8)Online publication date: May-2014
  • (2013)CloudAdvisorProceedings of the 2013 IEEE Ninth World Congress on Services10.1109/SERVICES.2013.55(456-463)Online publication date: 28-Jun-2013

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