CSR: Small: Using Burstable Instances for Cost-Efficacy in the Public Cloud: When and How?

公共云提供商正在探索使用资源超额预订来提高盈利能力。由于航空业的超售有助于公司销售更多的机票，从而确保航班满员，因此公共云中的超售有助于提供商创建和销售更多的虚拟机(实例)。虽然此类实例更便宜，但它们的使用难度更大，因为它们的资源容量会随着时间的推移而变化。该项目的目标是加深对此类可突发实例的了解，并帮助租户经济高效地运行其工作负载。该项目将与业界进行接触，特别是继续与IBM、谷歌和亚马逊进行积极合作。将努力通过学生实习、讲座和研究/教学学分的补充建议，向这些行业合作伙伴传达提供商端整合技术的增强。该项目将涉及计算机科学和工程领域中代表性不足的少数群体，特别是女研究生。最后，该项目的工作成果将与开发的代码一起在网络上公开传播，以便于其他各方进行实验复制和验证。该项目将开发根本新颖的方法，用于推断管理可突发实例的资源调节器(例如，令牌桶的变体)的未披露参数。整合这种对有效能力的情景感知并将其应用于应用程序编程平台(Memcached、Spark和Hadoop)将带来巨大的挑战，因为这些平台中的多种资源管理战略现在需要共存。最后一组研究贡献将解决提供商方面与丰富未来可爆发实例相关的新颖问题，为租户提供更多多样性和灵活性，同时考虑到他们对这些实例的更谨慎使用。该项目的网站将在以下网址创建：http://www.cse.psu.edu/~bhuvan/burstables.html.该网站将包含该项目产生的所有源代码(租户工作负载增强、ApacheMesos或Kubernetes中的提供者端增强、运行和解释实验的脚本等)、数据和文件(技术报告、代码说明、会议和期刊论文)。这些内容将在项目结束后很长一段时间内供研究人员使用。

Public cloud providers are exploring the use of resource overbooking for improving their profitability. As overbooking in the airline industry helps companies sell more tickets and thereby ensure fuller flights, overbooking in the public cloud helps providers create and sell more virtual machines (instances). While such instances are cheaper, they are more difficult to use because their resource capacities vary over time. The goal of this project is to develop an understanding of such burstable instances - so called due to the sporadic or "bursty" nature of their capacities - and help tenants run their workloads cost-effectively. The project will engage in outreach to industry, particularly to continue active collaborations with IBM, Google, and Amazon. Efforts will be made to convey enhancements to provider-side consolidation techniques to these industrial partners via student internships, talks, and complementary proposals for research/teaching credits. The project will involve under-represented minorities in computer science and engineering, particularly women graduate students. Finally, the work-product of the project will be publicly disseminated on the web, together with developed code, to ease experimental reproduction and validation by other parties.The project will develop fundamentally novel methodologies for inferring undisclosed parameters governing resource regulators (e.g., variants of token buckets) for burstable instances. Integrating such situational awareness of effective capacity and employing it in application programming platforms (memcached, Spark, and Hadoop) would pose significant challenges since a plurality of resource management strategies in these platforms will now need to co-exist. A final set of research contributions will address novel provider-side concerns related to enriching future burstable instances with more diversity and flexibility for tenants taking into account their more careful usage of these instances. A website for the project will be created at the following URL: http://www.cse.psu.edu/~bhuvan/burstables.html. This website will contain all source code (tenant workload enhancements, provider-side enhancements in Apache Mesos or kubernetes, scripts for running and interpreting experiments, etc.), data, and documents (technical reports, code descriptions, papers at conferences and journals) resulting from the project. The contents will remain available for researchers well beyond the duration of the project.