Guest Editorial Emerging Technologies in Software- Driven Communication

IF 13.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal on Selected Areas in Communications Pub Date : 2017-11-01 DOI:10.1109/JSAC.2017.2760479
Mathias Fischer, M. Brunner, A. Dutta, Toktam Mahmoodi
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引用次数: 0

Abstract

Computer networks fundamentally changed the way we communicate and interact with each other. In fact, they now form the backbone of our modern societies. While early networks were merely a mechanism for exchanging data between end-hosts, current computer and telecommunication networks are way more than that. Compared to the early days of the networking not only the hardware of networks has changed fundamentally, but with it also the software deployed to control and manage these networks. To reduce the significant management cost of large networks, automated management, including autonomic computing and communications evolved.
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软件驱动通信中的新兴技术
计算机网络从根本上改变了我们彼此交流和互动的方式。事实上,它们现在构成了我们现代社会的支柱。虽然早期的网络仅仅是在终端主机之间交换数据的机制,但当前的计算机和电信网络远不止于此。与早期的网络相比,不仅网络的硬件发生了根本性的变化,用于控制和管理这些网络的软件也发生了根本性的变化。为了显著降低大型网络的管理成本,包括自主计算和通信在内的自动化管理不断发展。
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来源期刊
CiteScore
30.00
自引率
4.30%
发文量
234
审稿时长
6 months
期刊介绍: The IEEE Journal on Selected Areas in Communications (JSAC) is a prestigious journal that covers various topics related to Computer Networks and Communications (Q1) as well as Electrical and Electronic Engineering (Q1). Each issue of JSAC is dedicated to a specific technical topic, providing readers with an up-to-date collection of papers in that area. The journal is highly regarded within the research community and serves as a valuable reference. The topics covered by JSAC issues span the entire field of communications and networking, with recent issue themes including Network Coding for Wireless Communication Networks, Wireless and Pervasive Communications for Healthcare, Network Infrastructure Configuration, Broadband Access Networks: Architectures and Protocols, Body Area Networking: Technology and Applications, Underwater Wireless Communication Networks, Game Theory in Communication Systems, and Exploiting Limited Feedback in Tomorrow’s Communication Networks.
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