{"title":"紫晶:通过动态自动调优和虚拟机管理减少数据中心排放","authors":"Mattia Tibaldi;Christian Pilato","doi":"10.1109/LCA.2025.3566553","DOIUrl":null,"url":null,"abstract":"To reduce emerging carbon emissions in cloud computing, we proposed Amethyst, a new VM placement and migration strategy capable of adapting consumption to the currently available green energy. Amethyst tackles the problem on three fronts: it adjusts the consumption to energy production, optimizes execution on FPGA accelerators, and balances execution among servers. We evaluate the strategy with real workloads. Our simulations on CloudSim Plus show that Amethyst effectively reduces the carbon emissions of cloud computing and, compared to the state-of-the-art, it increases the energy efficiency.","PeriodicalId":51248,"journal":{"name":"IEEE Computer Architecture Letters","volume":"24 1","pages":"153-156"},"PeriodicalIF":1.4000,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Amethyst: Reducing Data Center Emissions With Dynamic Autotuning and VM Management\",\"authors\":\"Mattia Tibaldi;Christian Pilato\",\"doi\":\"10.1109/LCA.2025.3566553\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To reduce emerging carbon emissions in cloud computing, we proposed Amethyst, a new VM placement and migration strategy capable of adapting consumption to the currently available green energy. Amethyst tackles the problem on three fronts: it adjusts the consumption to energy production, optimizes execution on FPGA accelerators, and balances execution among servers. We evaluate the strategy with real workloads. Our simulations on CloudSim Plus show that Amethyst effectively reduces the carbon emissions of cloud computing and, compared to the state-of-the-art, it increases the energy efficiency.\",\"PeriodicalId\":51248,\"journal\":{\"name\":\"IEEE Computer Architecture Letters\",\"volume\":\"24 1\",\"pages\":\"153-156\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Computer Architecture Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10982107/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Computer Architecture Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10982107/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
Amethyst: Reducing Data Center Emissions With Dynamic Autotuning and VM Management
To reduce emerging carbon emissions in cloud computing, we proposed Amethyst, a new VM placement and migration strategy capable of adapting consumption to the currently available green energy. Amethyst tackles the problem on three fronts: it adjusts the consumption to energy production, optimizes execution on FPGA accelerators, and balances execution among servers. We evaluate the strategy with real workloads. Our simulations on CloudSim Plus show that Amethyst effectively reduces the carbon emissions of cloud computing and, compared to the state-of-the-art, it increases the energy efficiency.
期刊介绍:
IEEE Computer Architecture Letters is a rigorously peer-reviewed forum for publishing early, high-impact results in the areas of uni- and multiprocessor computer systems, computer architecture, microarchitecture, workload characterization, performance evaluation and simulation techniques, and power-aware computing. Submissions are welcomed on any topic in computer architecture, especially but not limited to: microprocessor and multiprocessor systems, microarchitecture and ILP processors, workload characterization, performance evaluation and simulation techniques, compiler-hardware and operating system-hardware interactions, interconnect architectures, memory and cache systems, power and thermal issues at the architecture level, I/O architectures and techniques, independent validation of previously published results, analysis of unsuccessful techniques, domain-specific processor architectures (e.g., embedded, graphics, network, etc.), real-time and high-availability architectures, reconfigurable systems.