{"title":"Operating System And Artificial Intelligence: A Systematic Review","authors":"Yifan Zhang, Xinkui Zhao, Jianwei Yin, Lufei Zhang, Zuoning Chen","doi":"arxiv-2407.14567","DOIUrl":null,"url":null,"abstract":"In the dynamic landscape of technology, the convergence of Artificial\nIntelligence (AI) and Operating Systems (OS) has emerged as a pivotal arena for\ninnovation. Our exploration focuses on the symbiotic relationship between AI\nand OS, emphasizing how AI-driven tools enhance OS performance, security, and\nefficiency, while OS advancements facilitate more sophisticated AI\napplications. We delve into various AI techniques employed to optimize OS\nfunctionalities, including memory management, process scheduling, and intrusion\ndetection. Simultaneously, we analyze the role of OS in providing essential\nservices and infrastructure that enable effective AI application execution,\nfrom resource allocation to data processing. The article also addresses\nchallenges and future directions in this domain, emphasizing the imperative of\nsecure and efficient AI integration within OS frameworks. By examining case\nstudies and recent developments, our review provides a comprehensive overview\nof the current state of AI-OS integration, underscoring its significance in\nshaping the next generation of computing technologies. Finally, we explore the\npromising prospects of Intelligent OSes, considering not only how innovative OS\narchitectures will pave the way for groundbreaking opportunities but also how\nAI will significantly contribute to advancing these next-generation OSs.","PeriodicalId":501333,"journal":{"name":"arXiv - CS - Operating Systems","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Operating Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.14567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the dynamic landscape of technology, the convergence of Artificial
Intelligence (AI) and Operating Systems (OS) has emerged as a pivotal arena for
innovation. Our exploration focuses on the symbiotic relationship between AI
and OS, emphasizing how AI-driven tools enhance OS performance, security, and
efficiency, while OS advancements facilitate more sophisticated AI
applications. We delve into various AI techniques employed to optimize OS
functionalities, including memory management, process scheduling, and intrusion
detection. Simultaneously, we analyze the role of OS in providing essential
services and infrastructure that enable effective AI application execution,
from resource allocation to data processing. The article also addresses
challenges and future directions in this domain, emphasizing the imperative of
secure and efficient AI integration within OS frameworks. By examining case
studies and recent developments, our review provides a comprehensive overview
of the current state of AI-OS integration, underscoring its significance in
shaping the next generation of computing technologies. Finally, we explore the
promising prospects of Intelligent OSes, considering not only how innovative OS
architectures will pave the way for groundbreaking opportunities but also how
AI will significantly contribute to advancing these next-generation OSs.