SC-Share: Performance Driven Resource Sharing Markets for the Small Cloud

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 empirically) converges to efficient resource sharing decisions at market equilibrium. Our results include extensive evaluations that illustrate the utility of the proposed framework.