TY  - JOUR
AB  - Purpose Information-centric networking (ICN) is an innovative paradigm for the future internet architecture. This paper aims to provide a view on how academic video lectures can exploit the ICN paradigm. It discusses the design of academic video lectures over named data networking (NDN) (an ICN architecture) and speculates their future development. To the best of author’s knowledge, a similar study has not been presented.Design/methodology/approach The paper is a visionary essay that introduces the background, elaborates the basic concepts and presents the author’s views and insights into academic video lectures that exploit the latest development of NDN approach and its applications.Findings The ICN paradigm is closely related to the levels of automation and large-scale uptake of multimedia applications that provide video lectures. Academic video lectures over NDN have: improved efficiency, better scalability with respect to information/bandwidth demand and better robustness in challenging communication scenarios. A framework of academic video lectures over NDN must take into account various key issues such as naming (name resolution), optimized routing, resource control, congestion control, security and privacy. The size of the network in which academic video lectures are distributed, the content location dynamics and the popularity of the stored video lectures will determine which routing scheme must be selected. If semantic information is included into academic video lectures, the network dynamically may assist video (streaming) lecture service by permitting the network to locate the proper version of the requested video lecture that can be better delivered to e-learners and/or select the appropriate network paths.Practical implications The paper helps researchers already working on video lectures in finding a direction for designing and deploying platforms that will provide content-centric academic video lectures.Originality/value The paper pioneers the investigation of academic video lecture distribution in ICN and presents an in-depth view to its potentials and research trends.
VL  - 48
IS  - 4
SN  - 2398-6247
DO  - 10.1108/IDD-10-2019-0071
UR  - https://doi.org/10.1108/IDD-10-2019-0071
AU  - Kanellopoulos Dimitris
PY  - 2020
Y1  - 2020/01/01
TI  - Academic video lectures over named data networking
T2  - Information Discovery and Delivery
PB  - Emerald Publishing Limited
SP  - 165
EP  - 177
Y2  - 2024/04/25
ER  -