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PoMic: Dynamic Power Management of VM-Microservices in Overcommitted Cloud

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Abstract

Changes in user requests and data processing volume induce changes in the processing pattern and demand for computing resources. One of the new models used in clouds is a microservices architecture. In the microservice model, each application consists of loosely coupled services. Global large-scale data centers are expanding due to the introduction of new technologies such as microservice in clouds. Electricity consumption is a crucial issue in data centers. However, electricity sources emit a significant amount of carbon dioxide into the environment. This paper proposes a novel method for managing the dynamic power consumption of microservices in cloud data centers. This approach assumes microservices located on virtual machines and follows a decision process to consolidate VM-microservices based on migration or resized virtual machines. The method aims to increase the productivity of computing resources and satisfy the Service Level Agreement (SLA) for the respective services. Moreover, the approach was evaluated on the PlanetLab dataset on the CloudSimPlus platform. The results showed that using the decision process reduced energy consumption by at least 10%.

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Data Availability

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

The authors agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved, and if needed, they will provide the data and details of the results to the journal committee. In addition, the manuscript has not been published elsewhere, nor is it under consideration by another publication.

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Acknowledgements

The authors would like to thank Turin Cloud Services (turin.ipm.ir) for providing the computing capabilities to carry out the experiments.

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Authors and Affiliations

  1. Electrical and Computer Engineering, Tarbiat Modares University, Jalal Al-Ahmad St, Tehran, Iran

    Reyhaneh Noorabad, Nasrollah Moghadam Charkari & Sadegh Dorri Nogoorani

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  1. Reyhaneh Noorabad
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  2. Nasrollah Moghadam Charkari
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  3. Sadegh Dorri Nogoorani
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Contributions

Reyhaneh Noorabad contributed significantly to the conception and design of the work, as well as the analysis of experimental results. Nasrollah Moghadam Charkari and Sadegh Dorri Nogoorani made substantial contributions to the composition of this work and revised it for important intellectual content.

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Correspondence to Nasrollah Moghadam Charkari.

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Noorabad, R., Charkari, N.M. & Nogoorani, S.D. PoMic: Dynamic Power Management of VM-Microservices in Overcommitted Cloud. J Grid Computing 21, 12 (2023). https://doi.org/10.1007/s10723-023-09648-z

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