Remote execution and computation offloading in NDN

• Autor(a) principal: Kononov, Alexey
• Data de Publicação: 2022
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/36653
• topic: ICN; NDN; Remote execution; Edge computing; Computation offloading

The way the Internet is currently used is completely different from how it was intended to be used, which results in a number of shortcomings for the current demands. To address IP’s deficiencies, new clean-slate architectures started to emerge. Information-Centric Networking (ICN) is one of them. It provides architectural advantages like resource naming, built-in caching and security, effective forwarding and others. One of the Internet usage segments that has expanded the most is edge computing. Applying new architectures to the edge computing has many benefits. The advantages of using Named Data Networking (NDN), an ICN implementation, in the context of edge computing were examined in this dissertation. The emphasis is on remote execution and offloading of functions to the network. A framework is proposed for enabling remote execution and its application in edge offloading in NDN. New methods for delivering input arguments to functions and obtaining the execution result were studied. The framework is validated and its performance is evaluated.