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CSPAN: cost-effective geo-replicated storage spanning multiple cloud services

Published: 27 August 2013 Publication History

Abstract

Existing cloud computing platforms leave it up to applications to deal with the complexities associated with data replication and propagation across data centers. In our work, we propose the CSPAN key-value store to instead export a unified view of storage services in several geographically distributed data centers. To minimize the cost incurred by application providers, we combine two principles. First, CSPAN spans the data centers of multiple cloud providers. Second, CSPAN judiciously trades off the lower latencies and the higher storage and data propagation costs based on an application's anticipated workload, latency goals, and consistency requirements.

References

[1]
Amazon S3. http://aws.amazon.com/s3.
[2]
Google cloud storage. http://cloud.google.com.
[3]
Windows Azure. http://www.windowsazure.com/.
[4]
W. Lloyd, M. J. Freedman, M. Kaminsky, and D. G. Andersen. Don't settle for eventual: Scalable causal consistency for wide-area storage with COPS. In SOSP, 2011.

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  • (2024)Efficient Multi-Cloud Storage Using Online Dynamic Replication and Placement Algorithms for Online Social NetworksIEEE Access10.1109/ACCESS.2024.336174812(20409-20425)Online publication date: 2024
  • (2024)Online dynamic replication and placement algorithms for cost optimization of online social networks in two-tier multi-cloudJournal of Network and Computer Applications10.1016/j.jnca.2024.103827224:COnline publication date: 1-Apr-2024
  • (2020)A Cost-Efficient and Low-Latency Data Hosting Scheme in JointCloud Storage2020 IEEE International Conference on Joint Cloud Computing10.1109/JCC49151.2020.00011(13-20)Online publication date: Aug-2020
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Published In

cover image ACM SIGCOMM Computer Communication Review
ACM SIGCOMM Computer Communication Review  Volume 43, Issue 4
October 2013
595 pages
ISSN:0146-4833
DOI:10.1145/2534169
Issue’s Table of Contents
  • cover image ACM Conferences
    SIGCOMM '13: Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
    August 2013
    580 pages
    ISBN:9781450320566
    DOI:10.1145/2486001
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2013
Published in SIGCOMM-CCR Volume 43, Issue 4

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Author Tags

  1. cloud services
  2. optimization
  3. storage system;

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Cited By

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  • (2024)Efficient Multi-Cloud Storage Using Online Dynamic Replication and Placement Algorithms for Online Social NetworksIEEE Access10.1109/ACCESS.2024.336174812(20409-20425)Online publication date: 2024
  • (2024)Online dynamic replication and placement algorithms for cost optimization of online social networks in two-tier multi-cloudJournal of Network and Computer Applications10.1016/j.jnca.2024.103827224:COnline publication date: 1-Apr-2024
  • (2020)A Cost-Efficient and Low-Latency Data Hosting Scheme in JointCloud Storage2020 IEEE International Conference on Joint Cloud Computing10.1109/JCC49151.2020.00011(13-20)Online publication date: Aug-2020
  • (2018)Budget-Transfer: A Low Cost Inter-Service Data Storage and Transfer Scheme2018 IEEE International Congress on Big Data (BigData Congress)10.1109/BigDataCongress.2018.00022(112-119)Online publication date: Jul-2018
  • (2022)A YCSB Workload for Benchmarking Hotspot Object Behaviour in NoSQL DatabasesPerformance Evaluation and Benchmarking10.1007/978-3-030-94437-7_1(1-16)Online publication date: 14-Jan-2022
  • (2021)Hierarchical data replication strategy to improve performance in cloud computingFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-019-9099-815:2Online publication date: 1-Apr-2021
  • (2020)A Systematic Review on Cloud Storage Mechanisms Concerning e-Healthcare SystemsSensors10.3390/s2018539220:18(5392)Online publication date: 21-Sep-2020
  • (2019)A blockchain-based adaptive middleware for large scale internet of things data storage selectionProceedings of the 20th International Middleware Conference Doctoral Symposium10.1145/3366624.3368159(17-19)Online publication date: 9-Dec-2019
  • (2019)A Cache-Based Data Movement Infrastructure for On-demand Scientific Cloud ComputingSupercomputing Frontiers10.1007/978-3-030-18645-6_3(38-56)Online publication date: 16-Apr-2019
  • (2018) EC 3 : Cutting Cooling Energy Consumption Through Weather-Aware Geo-Scheduling Across Multiple Datacenters IEEE Access10.1109/ACCESS.2017.27813096(2028-2038)Online publication date: 2018
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