MatchCloud: Service Matching for Multi Cloud Marketplace
Published:
Authors
Arpana Chakma, Shubham Kumar, Pradeep Kumar Mahato, Anurag Satpathy, Sourav Kanti Addya.
Conference
2021 International Conference on COMmunication Systems & NETworkS (COMSNETS) (Core Rank - National India)
Recieved the best poster award Link
Abstract
The 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.