Performance Driven Resource Sharing Markets for the Small Cloud

• Published in: Proceedings of the International Conference on Distributed Computing Systems pp. 241 - 251
• Main Authors: Sung-Han Lin, Pal, Ranjan, Paolieri, Marco, Golubchik, Leana
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2017
• Subjects: Biological system modeling; Cloud computing; Complexity theory; Computational modeling; data centers; markets; Measurement; Resource management; Silicon; small cloud
• ISSN: 1063-6927
• DOI: 10.1109/ICDCS.2017.272

Small-scale clouds (SCs) often suffer from resource under-provisioning during peak demand, leading to inability to satisfy service level agreements (SLAs) and consequent loss of customers. One approach to address this problem is for a set of autonomous SCs to share resources among themselves in a cost-induced cooperative fashion, thereby increasing their individual capacities (when needed) without having to significantly invest in more resources. In this context, a central problem is how to properly share resources for a price in order to achieve profitable service, while maintaining customer SLAs. To address this problem, we propose the SC-Share framework that utilizes two interacting models: (i) a stochastic performance model that estimates the achieved performance characteristics under given SLA requirements, and (ii) a market-based game-theoretic model that (as shown empirically) converges to efficient resource sharing decisions at market equilibrium. Our results include extensive evaluations that illustrate the utility of the proposed framework.