extended-abstract

CCO - Cloud Cost Optimizer

Authors:

Adi Yehoshua,

Ilya Kolchinsky,

Assaf SchusterAuthors Info & Claims

SYSTOR '23: Proceedings of the 16th ACM International Conference on Systems and Storage

Page 137

https://doi.org/10.1145/3579370.3594746

Published: 22 June 2023 Publication History

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Abstract

Cloud computing can be complex, but optimal management of it doesn't have to be. In this paper, we present the design and implementation of a scalable multi-Cloud Cost Optimizer (CCO) that calculates the optimal deployment scheme for a given workload on public or hybrid clouds. The goal of CCO is to reduce monetary costs while taking into account the specifications of the workload, including resource requirements and constraints. By using a combination of meta-heuristics, CCO addresses the combinatorial complexity of the problem and currently supports AWS and Azure. The CCO tool [1], can be accessed through a web UI or API and supports on-demand and spot instances. For broad discussion refer to [2].

References

[1]

https://github.com/AdiY10/CloudCostOptimizer.

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[2]

https://tinyurl.com/49zjuw87.

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[3]

Michael Gendreau. 2003. An introduction to tabu search. In Handbook of metaheuristics. Springer US, 37--54.

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[4]

Xingjia Li, Li Pan, and Shijun Liu. 2022. A survey of resource provisioning problem in cloud brokers, In Journal of Network and Computer Applications. Journal of Network and Computer Applications 203, 103384.

Digital Library

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[5]

Alexander Nikolaev and Sheldon Jacobson. 2010. Simulated annealing. In Handbook of metaheuristics. Springer US, 1--39.

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Index Terms

CCO - Cloud Cost Optimizer
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
2. Theory of computation
  1. Design and analysis of algorithms
    1. Mathematical optimization
      1. Discrete optimization
        Optimization with randomized search heuristics

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Information & Contributors

Information

Published In

SYSTOR '23: Proceedings of the 16th ACM International Conference on Systems and Storage

June 2023

168 pages

ISBN:9781450399623

DOI:10.1145/3579370

Chair:
Yosef Moatti,
General Chair:
Ofer Biran
IBM Research - Haifa, Israel
,
Program Chairs:
Yossi Gilad
Hebrew University of Jerusalem, Israel
,
Dejan Kostic
KTH Royal Institute of Technology, Sweden

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(s).

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2023

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Conference

SYSTOR '23

Sponsor:

SIGOPS

SYSTOR '23: 16th ACM International Conference on Systems and Storage

June 5 - 7, 2023

Haifa, Israel

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SYSTOR '23 Paper Acceptance Rate 12 of 30 submissions, 40%;

Overall Acceptance Rate 108 of 323 submissions, 33%

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