Many cloud service providers (CSPs) provide on-demand service at a price with a small delay. We propose a QoS-differentiated model where multiple SLAs deliver both on-demand service for latency-critical users and delayed services for delay-tolerant users at lower prices. Two architectures are considered to fulfill SLAs. The first is based on priority queues. The second simply separates servers into multiple modules, each for one SLA. As an ecosystem, we show that the proposed framework is dominant-strategy incentive compatible. Although the first architecture appears more prevalent in the literature, we prove the superiority of the second architecture, under which we further leverage queueing theory to determine the optimal SLA delays and prices. Finally, the viability of the proposed framework is validated through numerical comparison with the on-demand service and it exhibits a revenue improvement in excess of 200%. Our results can help CSPs design optimal delay-differentiated services and choose appropriate serving architectures.

中文翻译：

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云计算中的延迟和价格差异：服务模型、支持架构和性能

许多云服务提供商 (CSP) 以低延迟的价格提供按需服务。我们提出了一个 QoS 差异化模型，其中多个 SLA 以较低的价格为延迟关键用户提供按需服务和为延迟容忍用户提供延迟服务。两种架构被认为可以满足 SLA。第一种是基于优先级队列。第二种只是将服务器分成多个模块，每个模块对应一个 SLA。作为一个生态系统，我们表明所提出的框架与主导策略激励兼容。尽管第一种架构在文献中显得更为普遍，但我们证明了第二种架构的优越性，在这种架构下，我们进一步利用排队理论来确定最佳 SLA 延迟和价格。最后，通过与按需服务的数值比较验证了所提议框架的可行性，并且它的收入增长超过 200%。我们的结果可以帮助 CSP 设计最佳的延迟差异化服务并选择合适的服务架构。