CNS Core: Small: Economic Optimization of Serverless and VM Cloud Services

云计算平台负责美国和世界上不断增长的计算。它的用途遍及私营企业、政府和学术界。这些云平台通过大量的计算范式和定价模型提供给用户。虽然传统上，用户会为计算资源的预留付费，但最近出现了一种发展模式，称为功能即服务（FaaS）或无服务器计算（SC），在这种模式中，用户只需为其计算作业的执行时间付费。这对这些系统的定价方式产生了重大影响，进而影响到它们的利用方式。本研究将结合数学建模、仿真和原型设计，从经济和工程的角度正式理解无服务器计算对云计算使用的影响。该研究采用了博弈论公式，其中参与者是试图使自己的个人福利最大化的理性代理人。结果将显示云计算市场将如何发展以适应无服务器计算选项。更一般地说，研究结果将为更好地理解这些不同模式的定价策略如何影响云计算提供商和消费者的使用和盈利能力提供一个良好的基础。这项研究将扩大国家对广泛使用的新兴计算系统的理解，并将继续有越来越多的需求。从经济和工程的角度来看，这项研究将使这些系统得到更有效的利用，从而提高国家计算基础设施的效率和有效性。研究的理论风格是理想的有效传达的基本问题的主题，使其成为一个重要的和热门的课程课程的补充。pi致力于扩大这一令人兴奋的研究领域的参与。特别是，他们已经并将继续向女学生和代表性不足的少数群体伸出援手。该项目将积极鼓励大学生研究。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Cloud computing platforms are responsible for the ever-increasing computation in the United States and the world. Its uses extend throughout private industry, government, and academia. These cloud platforms are offered to users via a plethora of computing paradigms and pricing models. While traditionally, users would pay for the reservation of a computational resource, a recently evolving paradigm, known as Function-as-a-Service (FaaS) or as Serverless Computing (SC), has emerged, where users pay instead only for the time their compute jobs are executing. This has had significant implications on how these systems are priced, which in turn affects how they are utilized. This research will use a combination of mathematical modeling, simulation, and prototyping to formally understand the impact that serverless computing has on cloud computing use, both from an economic and engineering perspective. The research applies a game theoretic formulation in which players are rational agents who are trying to maximize their own individual welfare. The results will show how cloud computing markets are expected to evolve to accommodate the serverless computing option. More generally, the results of the research will provide a well-grounded foundation for improved understanding as to how pricing strategies for these differing paradigms impact the use and profitability of both Cloud computing providers and consumers.The research will expand the nation's understanding of the emerging computational systems that are widely utilized, and will continue to have increasing demand. From both an economic and engineering perspective, the research will enable a more effective use of such systems, which in turn will increase the efficiency and effectiveness of the nation's computational infrastructure. The theoretical style of the research is ideal for effective conveyance of the fundamental issues of the topic, making it an important and topical addition to course curriculum. The PIs are committed to broadening participation in this exciting field of research. In particular, they have and will continue to reach out to female students and under-represented minority groups. The project will actively encourage undergraduate research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.