Carbon Emission-aware and Trusted Multi-tenant, Multi-cloud Storage

Abstract

Tenants of service-based model 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 centers. 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-emission 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 emission 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.