Special Issue: Adaptive and Scalable Communication Networks
Volume 107, Issue 4
Special Issue Papers
This article introduces a novel networking scenario, namely 360◦ video streaming, discussing its challenges, existing approaches, and the research opportunities which it enabled.
In the context of mobile augmented reality, this article addresses a challenging network scenario that requires adaptation in the usage of computing, storage, and communication resources.
This article explores a network scenario that is emerging as a different type of a novel cloud computing paradigm in which applications are decomposed into smaller and modular functions.
This article provides a survey on traffic models for the Internet of Things (IoT), a challenging network scenario comprising highly varying load characteristics and interconnections of devices.
In the context of the Internet of Things, this article surveys the readiness and interplay of various distinct technologies, including scalable sensing, information-centric networks, and AI, that are likely to be necessary in order to enable personalized IoT networks.
This article reviews and analyzes adaptation opportunities and the potential for building scalable communication systems by means of software-defined networking (SDN) and network function virtualization (NFV).
This article surveys adaptive communication techniques that relate to the coordination of antennas and beams that allow millimeter-wave networks to operate at scale.
In the network function virtualization, this article surveys ways of realizing network functions in a scalable way. It introduces techniques for hardware and software acceleration that allow for removing inherent bottlenecks in the deployment of network functions.
This article reviews adaptive coding techniques for achieving energy efficiency in wireless communications. It analyzes and presents fundamental limits of adaptive coding techniques.
In the context of online learning and management policies, this article illustrates ways of dealing with extreme heterogeneity, massive number of devices, and unpredictable dynamics in the context of the Internet of Things.
This article presents an internetworking approach based on self-organizing application-layer networks, surveying findings related to scalability, the ability to adapt after disruptions, heterogeneous substrate networks, distributed security, and the dynamic creation of network services.
This article reviews and proposes research on the twin fields of self-organization and resilience for networked systems.
This article provides a taxonomy of an adaptation principle, named transition, which aims at increasing the flexibility and scale at which communication networks can be adapted.