面向增强型未来网络的民主化容器实时迁移--一项调查

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS ACM Computing Surveys Pub Date : 2024-11-14 DOI:10.1145/3704436
Wissem Soussi, Gürkan Gür, Burkhard Stiller
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引用次数: 0

摘要

新兴的以云为中心的网络从边缘云到大型数据中心,多个租户和应用共享基础设施,具有高可用性、隔离性、容错性、安全性和能效要求。实时迁移(LiMi)在这些环境中发挥着越来越关键的作用,它实现了从边缘到云的无缝应用移动性,并保持了这些要求。本调查报告全面介绍了使 LiMi 民主化的最新进展,使其更适用于虚拟机(VM)和容器的更广泛场景和网络环境,并分析了 LiMi 的技术基础和优化技术。报告还深入探讨了连接切换问题,提出了一种分类法,以综合现有文献对流量重定向方法进行分类。最后,它指出了技术挑战,并为这一关键技术的未来研究方向铺平了道路。
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Democratizing Container Live Migration for Enhanced Future Networks - A Survey
Emerging cloud-centric networks span from edge clouds to large-scale datacenters with shared infrastructure among multiple tenants and applications with high availability, isolation, fault tolerance, security, and energy efficiency demands. Live migration (LiMi) plays an increasingly critical role in these environments by enabling seamless application mobility covering the edge-to-cloud continuum and maintaining these requirements. This survey presents a comprehensive survey of recent advancements that democratize LiMi, making it more applicable to a broader range of scenarios and network environments both for virtual machines (VMs) and containers, and analyzes LiMi’s technical underpinnings and optimization techniques. It also delves into the issue of connections handover, presenting a taxonomy to categorize methods of traffic redirection synthesized from the existing literature. Finally, it identifies technical challenges and paves the way for future research directions in this key technology.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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