SMSE：面向多媒体云系统的无服务器平台
SMSE: A Serverless Platform for Multimedia Cloud Systems
AI总结：
本文提出首个面向多媒体流的领域专用无服务器平台SMSE，并设计依据函数时空与数据依赖特征动态供给持久或临时容器的方法，最高可将多媒体处理函数完工时间降低30%。
摘要：
随着领域专用计算（ASIC硬件）和领域专用编程语言的兴起，我们设想下一步将出现领域专用云平台。以无服务器方式为热门应用开发此类平台，不仅能够为用户和提供商提供更高的效率，还可以加快应用开发周期，让用户面向解决方案，并专注于其特定的业务逻辑。考虑到多媒体流是IT行业最热门的应用之一，本研究的目标是开发SMSE，即首个面向多媒体流的领域专用无服务器平台。SMSE使内容提供商（甚至最终用户）能够在其多媒体内容上快速开发所需功能，从而实现多媒体服务开发的民主化。在开发SMSE之后，本研究的下一个目标是应对其效率挑战，并开发一种函数容器供给方法，以高效利用云资源并改善用户的QoS。具体而言，我们开发了一种动态方法，根据函数的时空特征和数据依赖特征来供给持久或临时容器。在真实环境下对SMSE原型实现进行评估表明，与通用无服务器云系统中使用的函数供给方法相比，该平台能够降低容器化开销，并将服务多媒体处理函数的完工时间减少至多30%。
英文摘要：
Along with the rise of domain-specific computing (ASICs hardware) and domain-specific programming languages, we envision that the next step is the emergence of domain-specific cloud platforms. Developing such platforms for popular applications in the serverless manner, not only can offer a higher efficiency to both users and providers, it can also expedite the application development cycles and enable users to become solution-oriented and focus on their specific business logic. Considering multimedia streaming as one of the most trendy applications in the IT industry, the goal of this study is to develop SMSE, the first domain-specific serverless platform for multimedia streaming. SMSE democratizes multimedia service development via enabling content providers (or even end-users) to rapidly develop their desired functionalities on their multimedia contents. Upon developing SMSE, the next goal of this study is to deal with its efficiency challenges and develop a function container provisioning method that can efficiently utilize cloud resources and improve the users' QoS. In particular, we develop a dynamic method that provisions durable or ephemeral containers depending on the spatiotemporal and data-dependency characteristics of the functions. Evaluating the prototype implementation of SMSE under real-world settings demonstrates its capability to reduce both the containerization overhead, and the makespan time of serving multimedia processing functions (by up to 30%) in compare to the function provision methods that are being used in the general-purpose serverless cloud systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
