research-article

Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design

Authors:

Neda Nasiriani,

George Kesidis,

Bhuvan Urgaonkar,

Robert BirkeAuthors Info & Claims

e-Energy '15: Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems

Pages 141 - 150

https://doi.org/10.1145/2768510.2768541

Published: 14 July 2015 Publication History

Abstract

As energy costs become increasingly greater contributors to a cloud provider's overall costs, it is important for the cloud to recoup these energy costs from its tenants for profitability via appropriate pricing design. The poor predictability of real-world tenants' demand and demand responses (DRs) make such pricing design a challenging problem. We formulate a leader-follower game-based cloud pricing framework with the goal of maximizing cloud's profit. The key distinguishing aspect of our approach is our emphasis on modeling both the cloud and its tenants as working with low predictability in their inputs. Consequently, we model them as employing myopic control with short-term predictive models. Our empirical evaluation using tenant trace from IBM production data centers shows that (i) cloud's profit and VM prices are sensitive to the tradeoffs between its energy costs, tenant's demand and DR, and (ii) the cloud's estimation of tenants' demands/DR may significantly affect its profitability.

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Cited By

Li SHuang JCheng B(2021)Resource Pricing and Demand Allocation for Revenue Maximization in IaaS Clouds: A Market-Oriented ApproachIEEE Transactions on Network and Service Management10.1109/TNSM.2021.308551918:3(3460-3475)Online publication date: Sep-2021
https://doi.org/10.1109/TNSM.2021.3085519
Li SHuang JCheng B(2021)A Price-Incentive Resource Auction Mechanism Balancing the Interests Between Users and Cloud Service ProviderIEEE Transactions on Network and Service Management10.1109/TNSM.2020.303698918:2(2030-2045)Online publication date: Jun-2021
https://doi.org/10.1109/TNSM.2020.3036989
Islam MMahmud HRen SWang X(2020)A Carbon-Aware Incentive Mechanism for Greening Colocation Data CentersIEEE Transactions on Cloud Computing10.1109/TCC.2017.27670438:1(4-16)Online publication date: 1-Jan-2020
https://doi.org/10.1109/TCC.2017.2767043
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Index Terms

Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies
2. General and reference
  1. Cross-computing tools and techniques
    1. Design

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Published In

cover image ACM Conferences

e-Energy '15: Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems

July 2015

334 pages

ISBN:9781450336093

DOI:10.1145/2768510

General Chairs:
Shivkumar Kalyanaraman
IBM Research, India
,
Deva P. Seetharam
DataGlen Technologies, India
,
Rajeev Shorey
TCS Innovation Labs, USA/India
,
Program Chairs:
Sarvapali Ramchurn
University of Southampton, UK
,
Mani Srivastava
UCLA, USA

Copyright © 2015 ACM.

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 July 2015

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Schweizerische Nationalfonds zur Förderung der Wissenschaftlichen Forschung
FP7 GENiC project
National Science Foundation

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e-Energy'15

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SIGCOMM

e-Energy'15: The Sixth International Conference on Future Energy Systems

July 14 - 17, 2015

Bangalore, India

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e-Energy '15 Paper Acceptance Rate 20 of 85 submissions, 24%;

Overall Acceptance Rate 160 of 446 submissions, 36%

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The 16th ACM International Conference on Future and Sustainable Energy Systems

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Cited By

Li SHuang JCheng B(2021)Resource Pricing and Demand Allocation for Revenue Maximization in IaaS Clouds: A Market-Oriented ApproachIEEE Transactions on Network and Service Management10.1109/TNSM.2021.308551918:3(3460-3475)Online publication date: Sep-2021
https://doi.org/10.1109/TNSM.2021.3085519
Li SHuang JCheng B(2021)A Price-Incentive Resource Auction Mechanism Balancing the Interests Between Users and Cloud Service ProviderIEEE Transactions on Network and Service Management10.1109/TNSM.2020.303698918:2(2030-2045)Online publication date: Jun-2021
https://doi.org/10.1109/TNSM.2020.3036989
Islam MMahmud HRen SWang X(2020)A Carbon-Aware Incentive Mechanism for Greening Colocation Data CentersIEEE Transactions on Cloud Computing10.1109/TCC.2017.27670438:1(4-16)Online publication date: 1-Jan-2020
https://doi.org/10.1109/TCC.2017.2767043
Sun QRen SWu C(2020)Fair Online Power Capping for Emergency Handling in Multi-Tenant Cloud Data CentersIEEE Transactions on Cloud Computing10.1109/TCC.2017.27623118:1(152-166)Online publication date: 1-Jan-2020
https://doi.org/10.1109/TCC.2017.2762311
Prasad AArumaithurai MKoll DFu X(2019)DMC: A Differential Marketplace for Cloud Resources2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)10.1109/CCGRID.2019.00034(198-209)Online publication date: May-2019
https://doi.org/10.1109/CCGRID.2019.00034
Aldossary MDjemame KAlzamil IKostopoulos ADimakis AAgiatzidou E(2019)Energy-aware cost prediction and pricing of virtual machines in cloud computing environmentsFuture Generation Computer Systems10.1016/j.future.2018.10.02793:C(442-459)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1016/j.future.2018.10.027
Bolla RCarrega ARepetto MRobino G(2018)Improving Efficiency of Edge Computing Infrastructures through Orchestration Models †Computers10.3390/computers70200367:2(36)Online publication date: 20-Jun-2018
https://doi.org/10.3390/computers7020036
Islam MRen SLie DMannan MBackes MWang X(2018)Ohm's Law in Data CentersProceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security10.1145/3243734.3243744(146-162)Online publication date: 15-Oct-2018
https://dl.acm.org/doi/10.1145/3243734.3243744
Nasiriani NKesidis GWang D(2018)Public Cloud Differential Pricing Design Under Provider and Tenants Joint Demand ResponseProceedings of the Ninth International Conference on Future Energy Systems10.1145/3208903.3208938(21-32)Online publication date: 12-Jun-2018
https://dl.acm.org/doi/10.1145/3208903.3208938
Islam MYang LRanganath KRen S(2018)Why Some Like It LoudProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/31794092:1(1-33)Online publication date: 3-Apr-2018
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