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The price is right: towards location-independent costs in datacenters

Published: 14 November 2011 Publication History

Abstract

The performance and cost for tenants in today's datacenters depends on the location of their virtual machines within the datacenter. However, a tenant's location is a knob for the provider and is of no interest to the tenant. Hence, this paper argues for location independent tenant costs in datacenters. We show how a change in today's IaaS offerings, coupled with a simple pricing scheme, can achieve this. We discuss how such a pricing model can be implemented and show that the consequent increase in system throughput can lead to a win-win situation- tenant costs are location independent and lower while provider revenue increases too.

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Cited By

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  • (2022)CosineProceedings of the VLDB Endowment10.14778/3485450.348546115:1(112-126)Online publication date: 14-Jan-2022
  • (2021)A Case for Pricing Bandwidth: Sharing Datacenter Networks With Cost Dominant FairnessIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2020.304570932:5(1256-1269)Online publication date: 1-May-2021
  • (2020)Online Placing and Pricing for Cloud Container Clusters: An Auction Approach2020 International Conference on Networking and Network Applications (NaNA)10.1109/NaNA51271.2020.00019(65-72)Online publication date: Dec-2020
  • Show More Cited By

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    cover image ACM Conferences
    HotNets-X: Proceedings of the 10th ACM Workshop on Hot Topics in Networks
    November 2011
    148 pages
    ISBN:9781450310598
    DOI:10.1145/2070562
    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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    Publication History

    Published: 14 November 2011

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    Author Tags

    1. datacenter
    2. location independence
    3. network cost
    4. price

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    HOTNETS-X
    Sponsor:
    HOTNETS-X: Tenth ACM Workshop on Hot Topics in Networks
    November 14 - 15, 2011
    Massachusetts, Cambridge

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    Overall Acceptance Rate 110 of 460 submissions, 24%

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    Cited By

    View all
    • (2022)CosineProceedings of the VLDB Endowment10.14778/3485450.348546115:1(112-126)Online publication date: 14-Jan-2022
    • (2021)A Case for Pricing Bandwidth: Sharing Datacenter Networks With Cost Dominant FairnessIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2020.304570932:5(1256-1269)Online publication date: 1-May-2021
    • (2020)Online Placing and Pricing for Cloud Container Clusters: An Auction Approach2020 International Conference on Networking and Network Applications (NaNA)10.1109/NaNA51271.2020.00019(65-72)Online publication date: Dec-2020
    • (2019)Nines are Not EnoughProceedings of the Workshop on Hot Topics in Operating Systems10.1145/3317550.3321432(136-141)Online publication date: 13-May-2019
    • (2019)Resource Provisioning in the Edge for IoT Applications With Multilevel ServicesIEEE Internet of Things Journal10.1109/JIOT.2018.28757536:3(4262-4271)Online publication date: Jun-2019
    • (2019)Towards predictable performance via two-layer bandwidth allocation in cloud datacenterJournal of Parallel and Distributed Computing10.1016/j.jpdc.2018.11.013126(34-47)Online publication date: Apr-2019
    • (2018)Data center network energy consumption minimization: a hierarchical FAT-tree approachInternational Journal of Information Technology10.1007/s41870-018-0258-1Online publication date: 26-Nov-2018
    • (2017)Application Scheduling, Placement, and Routing for Power Efficiency in Cloud Data CentersIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2016.260774328:4(947-960)Online publication date: 1-Apr-2017
    • (2017)An Online Auction Mechanism for Dynamic Virtual Cluster Provisioning in Geo-Distributed CloudsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2016.260190528:3(677-688)Online publication date: 1-Mar-2017
    • (2017)Escada: Predicting Virtual Machine Network Bandwidth Demands for Elastic Provisioning in IaaS Clouds2017 International Conference on Cloud and Autonomic Computing (ICCAC)10.1109/ICCAC.2017.9(10-21)Online publication date: Sep-2017
    • Show More Cited By

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