The Role of Cloud Architecture in Shaping a Sustainable Technology Future

Authors

  • Phanindra Gangina

DOI:

https://doi.org/10.22399/ijcesen.3950

Keywords:

Environmental cloud design, function-as-a-service models, demand-based scaling, system visibility, resource efficiency, carbon-conscious architecture

Abstract

This article examines the critical intersection of cloud architecture and environmental sustainability within enterprise technology solutions. As organizations face increasing pressure to reduce environmental impacts while maintaining competitive digital capabilities, emerging as prominent promoters of cloud-indigenous architectural patterns of resource adaptation. Discussion shows how specific cloud patterns, adaptation tools, and architectural decisions contribute to energy consumption and carbon emissions. Through examination of serverless computing, auto-scaling mechanisms, and robust observability frameworks, the article illuminates pathways through which technical architecture can align with broader sustainability imperatives. Cloud architects occupy a position of significant responsibility in facilitating the transition toward environmentally sustainable digital ecosystems while enabling continued innovation and performance in increasingly complex distributed systems.

References

[1] Anders S. G. Andrae and Thomas Edler, (2015). On Global Electricity Usage of Communication Technology: Trends to 2030, Challenges, vol. 6(1), 117-157.https://www.mdpi.com/2078-1547/6/1/117

[2] Xianyu Yu, et al., (2023). Carbon emission reduction analysis for cloud computing industry: Can carbon emissions trading and technology innovation help?, ScienceDirect. https://www.sciencedirect.com/science/article/abs/pii/S014098832300302X

[3] Ioana Baldini, et al., (2017). Serverless Computing: Current Trends and Open Problems, Springer Nature Link. https://link.springer.com/chapter/10.1007/978-981-10-5026-8_1

[4] Mario Villamizar et al., (2016). Infrastructure Cost Comparison of Running Web Applications in the Cloud Using AWS Lambda and Monolithic and Microservice Architectures. https://ieeexplore.ieee.org/document/7515686

[5] Xiangming Dai, et al., (2014). Energy-efficient virtual machine placement in data centers with heterogeneous requirements, IEEE. https://ieeexplore.ieee.org/document/6968986

[6] Mohammad Aldossary; Karim Djemame, (2018). Performance and Energy-based Cost Prediction of Virtual Machines Auto-Scaling in Clouds, IEEE. https://ieeexplore.ieee.org/document/8498253

[7] Altino M. Sampaio, et al., (2015). PIASA: A Power and Interference Aware Resource Management Strategy for Heterogeneous Workloads in Cloud Data Centers, ScienceDirect. https://www.sciencedirect.com/science/article/abs/pii/S1569190X15001069

[8] Jinsong Wu, et al., (2016). Big Data Meet Green Challenges: Greening Big Data, ResearchGate. https://www.researchgate.net/publication/299602571_Big_Data_Meet_Green_Challenges_Greening_Big_Data

[9] Fabiana Rossi, et al., (2020). Geo-distributed efficient deployment of containers with Kubernetes, ScienceDirect. https://www.sciencedirect.com/science/article/abs/pii/S0140366419317931

[10] Kannan Govindarajan, et al., (2017). A distributed cloud resource management framework for High-Performance Computing (HPC) applications, IEEE. https://ieeexplore.ieee.org/document/7951735

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Published

2025-09-24

How to Cite

Phanindra Gangina. (2025). The Role of Cloud Architecture in Shaping a Sustainable Technology Future. International Journal of Computational and Experimental Science and Engineering, 11(3). https://doi.org/10.22399/ijcesen.3950

Issue

Section

Research Article