Title: Carbon emission-aware and trusted multi-tenant, multi-cloud storage

Authors: Aditi Sharma; Parmeet Kaur

Addresses: Department of Computer Science & Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India ' Department of Computer Science & Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India

Abstract: Tenants of service-based models of cloud computing benefit by saving expenditures on installation and maintenance of resources. However, the extensive use of cloud computing has resulted in a huge increase in the energy consumption by cloud data centres. This can have adverse effect on the environment due to the high amount of carbon emission into the atmosphere by the data centres. Therefore, this paper presents a carbon-emissions aware strategy to allocate storage to tenants in a multi-cloud system. The proposed strategy prefers to allocate storage in data centres that have low carbon emissions than the ones with high emissions. Further, trust of the tenants in the multi-tenant, multi-cloud system is maintained by building a blockchain for proof of storage allocations. The results of simulation verify that our proposed approach, Multi-temperature-based Data Centre Allocation Algorithm (MTDC) reduces carbon emissions in comparison to two standard approaches, Location-based DC allocation (LDC) and Green-energy-based DC allocation (GDC) while meeting the response time requirements of tenant requests.

Keywords: multi-cloud; green energy; multi-tenant; data temperature; carbon emission; renewable energy; trust; data centre.

DOI: 10.1504/IJGUC.2026.150670

International Journal of Grid and Utility Computing, 2026 Vol.17 No.1, pp.86 - 98

Received: 18 Oct 2024
Accepted: 17 Jun 2025
Published online: 19 Dec 2025 *

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