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Open Cirrus: A Global Cloud Computing Testbed

Published: 01 April 2010 Publication History

Abstract

Open Cirrus is a cloud computing testbed that, unlike existing alternatives, federates distributed data centers. It aims to spur innovation in systems and applications research and catalyze development of an open source service stack for the cloud.

Cited By

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  • (2022)Design and Implementation of Software-Defined Data Center (SDDC) for Medical Colleges and UniversitiesMobile Information Systems10.1155/2022/91392572022Online publication date: 1-Jan-2022
  • (2020)Optimizing virtual machine placement in IaaS data centers: taxonomy, review and open issuesCluster Computing10.1007/s10586-019-02954-w23:2(837-878)Online publication date: 1-Jun-2020
  • (2019)The design and operation of cloudlabProceedings of the 2019 USENIX Conference on Usenix Annual Technical Conference10.5555/3358807.3358809(1-14)Online publication date: 10-Jul-2019
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Aake Edlund

Avetisyan et al. describe Open Cirrus, a cloud computing testbed, demonstrating the nature of federated distributed data centers. With a group of partners from academic research and industry (for example, Intel, Yahoo!, and HP), the testbed was designed with system and application innovation in mind. The paper describes how and why the testbed developed into its current form. It includes findings with regard to architectural decisions and cost. The economic models and measurements should be of interest to many of those involved with today's ongoing (and planned) international cloud initiatives. This paper should be of interest to readers who are involved with cloud computing, federated distributed data centers, distributed data management, and cloud computing economic models. Online Computing Reviews Service

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Published In

cover image Computer
Computer  Volume 43, Issue 4
April 2010
82 pages

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 April 2010

Author Tags

  1. Cloud computing
  2. Distributed computing
  3. Internet/Web
  4. Open Cirrus
  5. Systems engineering

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Cited By

View all
  • (2022)Design and Implementation of Software-Defined Data Center (SDDC) for Medical Colleges and UniversitiesMobile Information Systems10.1155/2022/91392572022Online publication date: 1-Jan-2022
  • (2020)Optimizing virtual machine placement in IaaS data centers: taxonomy, review and open issuesCluster Computing10.1007/s10586-019-02954-w23:2(837-878)Online publication date: 1-Jun-2020
  • (2019)The design and operation of cloudlabProceedings of the 2019 USENIX Conference on Usenix Annual Technical Conference10.5555/3358807.3358809(1-14)Online publication date: 10-Jul-2019
  • (2019)Task scheduling algorithms for multi-cloud systemsInformation Systems Frontiers10.1007/s10796-017-9742-621:2(241-259)Online publication date: 1-Apr-2019
  • (2018)MC-SimInternational Journal of Computer Applications in Technology10.5555/3192253.319225957:1(72-82)Online publication date: 1-Jan-2018
  • (2018)QoS-Aware Orchestration of Network Intensive Software Utilities within Software Defined Data CentresJournal of Grid Computing10.5555/3190792.319080016:1(85-112)Online publication date: 1-Mar-2018
  • (2017)Cost-Performance Modeling with Automated Benchmarking on Elastic Computing CloudsJournal of Grid Computing10.1007/s10723-017-9412-415:4(557-572)Online publication date: 1-Dec-2017
  • (2016)THEMISProceedings of the 2016 International Conference on Management of Data10.1145/2882903.2882943(541-553)Online publication date: 26-Jun-2016
  • (2015)Enabling collaborative development in an OpenStack testbedProceedings of the Seventh International Workshop on Principles of Engineering Service-Oriented and Cloud Systems10.5555/2820508.2820516(24-30)Online publication date: 16-May-2015
  • (2014)Toward achieving operational excellence in a cloudIBM Journal of Research and Development10.1147/JRD.2014.229892758:2-3(4-4)Online publication date: 1-Mar-2014
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