Performance Driven Resource Sharing Markets for the Small Cloud
Performance Driven Resource Sharing Markets for the Small Cloud
复制标题
小型云的性能驱动资源共享市场
DOI：
10.1109/icdcs.2017.272
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
L. Golubchik
中科院分区：
文献类型：
--
作者：
Sung;R. Pal;Marco Paolieri;L. Golubchik
小型云 (SC) 在高峰需求期间经常会遇到资源配置不足的问题，导致无法满足服务级别协议 (SLA) 并因此导致客户流失。解决这个问题的一种方法是让一组自治的 SC 以成本引发的合作方式在它们之间共享资源，从而提高它们的个体能力（在需要时），而无需大量投资更多资源。在这种情况下，一个中心问题是如何以合理的价格合理地共享资源，以实现可盈利的服务，同时维护客户的 SLA。为了解决这个问题，我们提出了利用两个交互模型的 SC-Share 框架：(i) 随机性能模型，用于估计给定 SLA 要求下所实现的性能特征；(ii) 基于市场的博弈论模型（如经验所示）在市场均衡时收敛于有效的资源共享决策。我们的结果包括广泛的评估，说明了所提出的框架的实用性。
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.