SC-Share: Performance Driven Resource Sharing Markets for the Small Cloud
Sung-Han Lin, Ranjan Pal, Marco Paolieri, Leana Golubchik

TL;DR
SC-Share introduces a market-based framework enabling small clouds to share resources efficiently, balancing performance and profitability through stochastic modeling and game theory, addressing resource under-provisioning during peak demand.
Contribution
The paper presents a novel resource sharing framework combining stochastic performance modeling with a market game-theoretic approach for small clouds.
Findings
The framework effectively estimates performance under SLA constraints.
Market equilibrium solutions lead to efficient resource sharing.
Extensive evaluations demonstrate the framework's utility.
Abstract
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. A central problem (in this context) is how to properly share resources (for a price) to achieve profitable service while maintaining customer SLAs. To address this problem, in this paper, 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…
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Taxonomy
TopicsCloud Computing and Resource Management · Blockchain Technology Applications and Security · IoT and Edge/Fog Computing
