<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Serverless Computing | Junfei Zhan's Website</title><link>https://junfei-z.github.io/tags/serverless-computing/</link><atom:link href="https://junfei-z.github.io/tags/serverless-computing/index.xml" rel="self" type="application/rss+xml"/><description>Serverless Computing</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 30 Apr 2024 00:00:00 +0000</lastBuildDate><image><url>https://junfei-z.github.io/media/icon_hu70bcee51a3cd7a7338014254a2e0c844_1401285_512x512_fill_lanczos_center_3.png</url><title>Serverless Computing</title><link>https://junfei-z.github.io/tags/serverless-computing/</link></image><item><title>Undergraduate Thesis - Scheduling in Serverless Computing for Solar-Powered IoT Networks</title><link>https://junfei-z.github.io/samples/4_spam/</link><pubDate>Tue, 30 Apr 2024 00:00:00 +0000</pubDate><guid>https://junfei-z.github.io/samples/4_spam/</guid><description>&lt;p>This undergraduate thesis proposes a two-phase optimization framework for solar-powered IoT networks, focusing on dynamic task allocation and energy-aware function configuration. A MILP benchmark and a GMM-enhanced Receding Horizon Control algorithm were developed to improve efficiency and adapt to fluctuating energy and computation conditions.&lt;/p></description></item><item><title>本科毕业论文 - Scheduling in Serverless Computing for Solar-Powered IoT Networks</title><link>https://junfei-z.github.io/zh/samples/4_spam/</link><pubDate>Tue, 30 Apr 2024 00:00:00 +0000</pubDate><guid>https://junfei-z.github.io/zh/samples/4_spam/</guid><description>&lt;p>本科毕业论文提出了一种面向太阳能供电 IoT 网络的两阶段优化框架，重点研究动态任务分配和能量感知的函数配置。开发了 MILP 基准测试和基于 GMM 增强的 Receding Horizon Control 算法，以提升效率并适应波动的能量和计算条件。&lt;/p></description></item></channel></rss>