使用保守信号处理进行异步分布式优化的Web服务
Web Services for Asynchronous, Distributed Optimization Using Conservative Signal Processing
摘要：
本文提出了一种系统的方法来实现一类非线性信号处理系统的分布式Web服务，这反过来又是用来解决优化问题的分布式，异步的方式。与需要专门的服务器相反，所提出的方法仅需要使用商品数据库后端作为中央资源，因为通常可能用于为具有大量并发用户的网站提供数据。在这个意义上说，所提出的方法不仅利用了各种数据库系统在工作者之间异步共享变量的可扩展性和鲁棒性，而且还关键地利用了信号处理工具来确定优化算法如何在各种异构工作者之间组织和分布。还提出了一个公开访问的实现，利用Firebase作为后端服务器，并说明了使用所提出的方法在解决各种优化问题中常见的信号处理的上下文中。
英文摘要：
This paper presents a systematic approach for implementing a class of nonlinear signal processing systems as a distributed web service, which in turn is used to solve optimization problems in a distributed, asynchronous fashion. As opposed to requiring a specialized server, the presented approach requires only the use of a commodity database back-end as a central resource, as might typically be used to serve data for websites having large numbers of concurrent users. In this sense the presented approach leverages not only the scalability and robustness of various database systems in sharing variables asynchronously between workers, but also critically it leverages the tools of signal processing in determining how the optimization algorithm might be organized and distributed among various heterogeneous workers. A publicly-accessible implementation is also presented, utilizing Firebase as a back-end server, and illustrating the use of the presented approach in solving various optimization problems commonly arising in the context of signal processing.
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。
