Chakma, A.Kumar, S.Mahato, P.K.Satpathy, A.Addya, S.K.2026-02-0620212021 International Conference on COMmunication Systems and NETworkS, COMSNETS 2021, 2021, Vol., , p. 127-130https://doi.org/10.1109/COMSNETS51098.2021.9352821https://idr.nitk.ac.in/handle/123456789/30180The modern applications execute in the cloud via independent executable entities called virtual machines (VMs). In a typical multi-SP market with variable pricing and heterogeneous resource demands of VMs, resource allocation/placement is particularly challenging. To maximize the social welfare of the multi-SP markets, in this paper, we propose a resource allocation technique called MatchCloud formulated as a one-to-many matching game. Owing to the in-applicability of the classical deferred acceptance algorithm (DAA) due to size heterogeneity, we adopt a modified version of the algorithm. Moreover, preference generation is crucial for matching markets. Hence, we also present a simple yet efficient technique to assign preferences to two different stakeholders, i.e., VMs and SPs. Simulation results show that VM proposing RDA performs better compared to when SPs propose. © 2021 IEEE.Cloud ComputingGale-ShapleyMatchingVirtual Machines