Future communication networks are envisioned to satisfy increasingly granular and dynamic requirements to accommodate the application and user demands. Indeed, novel immersive and mission-critical services necessitate increased computing and network resources, reduced communication latency, and guaranteed reliability. Thus, efficient and adaptive resource management schemes are required to provide and maintain sufficient levels of Quality of Experience (QoE) during the service life-cycle. Service migration is considered a key enabler of dynamic service orchestration. Indeed, moving services on demand is an efficient mechanism for user mobility support, load balancing in case of fluctuations in service demands, and hardware failure mitigation. However, service migration requires planning, as multiple parameters must be optimized to reduce service disruption to a minimum. Recent breakthroughs in computational capabilities allowed the emergence of Machine Learning as a tool for decision making that is expected to enable seamless automation of network resource management by predicting events and learning optimal decision policies. This paper surveys contributions applying Machine Learning (ML) methods to optimize service migration, providing a detailed literature review on recent advances in the field and establishing a classification of current research efforts with an analysis of their strengths and limitations. Finally, the paper provides insights on the main directions for future research.

Nassima Toumi

Miloud Bagaa

Adlen Ksentini

IEEE Communications Surveys &amp; Tutorials

IEEE Communications Surveys & Tutorials is an online journal published by the IEEE Communications Society for tutorials and surveys covering all aspects of the communications field. Telecommunications technology is progressing at a rapid pace, and the IEEE Communications Society is committed to providing researchers and other professionals the information and tools to stay abreast.  IEEE Communications Surveys and Tutorials focuses on integrating and adding understanding to the existing literature on communications, putting results in context. Whether searching for in-depth information about a familiar area or an introduction into a new area, IEEE Communications Surveys & Tutorials aims to be the premier source of peer-reviewed, comprehensive tutorials and surveys, and pointers to further sources. IEEE Communications Surveys & Tutorials publishes only articles exclusively written for IEEE Communications Surveys & Tutorials and go through a rigorous review process before their publication in the quarterly issues.
A tutorial article in the IEEE Communications Surveys & Tutorials should be designed to help the reader to become familiar with and learn something specific about a chosen topic. In contrast, the term survey, as applied here, is defined to mean a survey of the literature. A survey article in IEEE Communications Surveys & Tutorials should provide a comprehensive review of developments in a selected area, covering its development from its inception to its current state and beyond, and illustrating its development through liberal citations from the literature. Both tutorials and surveys should be tutorial in nature and should be written in a style comprehensible to readers outside the specialty of the article.

IEEE Communications Surveys and Tutorials is an online journal published by the IEEE Communications Society that focuses on tutorials and surveys covering all aspects of the communications field. As telecommunications technology advances rapidly, the IEEE Communications Society is committed to providing researchers and professionals with the information and tools they need to stay informed. The journal aims to integrate and enhance understanding of existing literature on communications, placing results in context. Whether seeking in-depth information about a familiar area or an introduction to a new one, IEEE Communications Surveys and Tutorials strives to be the premier source of peer-reviewed, comprehensive tutorials and surveys, along with pointers to further resources. The journal publishes only articles specifically written for it, which undergo a rigorous review process before publication in quarterly issues. A tutorial article is designed to help readers become familiar with and learn something specific about a chosen topic. In contrast, a survey article provides a comprehensive review of developments in a selected area, covering its evolution from inception to the present and beyond, illustrated with extensive citations from the literature. Both tutorials and surveys should be instructional in nature and written in a style that is comprehensible to readers outside the specialty of the article.

《IEEE Communications Surveys and Tutorials》是由IEEE通信学会出版的在线期刊，专注于涵盖通信领域的各个方面的教程和综述。随着电信技术的快速发展，IEEE通信学会致力于为研究人员和其他专业人士提供最新的信息和工具，以帮助他们保持对行业动态的了解。《IEEE Communications Surveys and Tutorials》旨在整合和加深对现有通信文献的理解，并将研究结果置于更广泛的背景中。无论是寻找熟悉领域的深入信息，还是对新领域的介绍，《IEEE Communications Surveys and Tutorials》都力求成为经过同行评审的、全面的教程和综述的首选来源，并提供进一步的参考资料。该期刊仅发表专门为《IEEE Communications Surveys and Tutorials》撰写的文章，并在每季度的出版前经过严格的审查过程。教程文章旨在帮助读者熟悉并深入了解特定主题。而综述文章则是对文献的全面回顾，涵盖所选领域的发展历程，从起源到当前状态及其未来发展，并通过大量文献引用来说明其发展过程。无论是教程还是综述，文章都应具有教学性质，并以易于理解的风格撰写，以便于非专业读者的理解。

Category	Quartile
计算机科学	1
计算机科学, 计算机信息系统	1
计算机科学, 电信学	1

Machine Learning for Service Migration: A Survey

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