Information-Centric Networking With Edge Computing for IoT: Research Challenges and Future Directions

Cloud computing is a paradigm that offers storage, computation, and software services on demand in the Cloud and far from end users. These services and computations are then extended to the Edge of the network with the Edge computing paradigm. This paradigm offers computation, data, and application...

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Main Authors: Rehmat Ullah, Syed Hassan Ahmed, Byung-Seo Kim
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8555552/
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author Rehmat Ullah
Syed Hassan Ahmed
Byung-Seo Kim
author_facet Rehmat Ullah
Syed Hassan Ahmed
Byung-Seo Kim
author_sort Rehmat Ullah
collection DOAJ
description Cloud computing is a paradigm that offers storage, computation, and software services on demand in the Cloud and far from end users. These services and computations are then extended to the Edge of the network with the Edge computing paradigm. This paradigm offers computation, data, and application services in close proximity of end users. Future Internet architectures will result in a fast information response time, and low latency will be a main feature of evolving 5th generation (5G) radio networks. To ensure the widespread adoption of 5G applications, low latency, security, mobility, and scalable content distribution support is required. Information-centric networking (ICN) is a newly proposed future Internet paradigm in which communication is based on content names irrespective of their locations. At the same time, ICN promises efficient content delivery, mobility support, scalability, and security for content. The Edge computing and ICN provide an opportunity to reduce latency, support mobility, security, and scalability. In this paper, discussions on Edge computing with ICN are provided. In detail, the Edge computing proposals, use cases, differences among Edge computing proposals and drivers for Edge computing are investigated. The Edge computing standardization, research, and industry/vendors collaboration overview are studied. Applications of ICN integration in Edge computing and their advantages and limitations are highlighted. We conclude our paper by describing potential directions for future research in the field of ICN over Edge computing.
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spelling doaj.art-ee0b226ed7ca45d6b58d24c9a4b3a5172022-12-21T19:55:21ZengIEEEIEEE Access2169-35362018-01-016734657348810.1109/ACCESS.2018.28845368555552Information-Centric Networking With Edge Computing for IoT: Research Challenges and Future DirectionsRehmat Ullah0Syed Hassan Ahmed1https://orcid.org/0000-0002-1381-5095Byung-Seo Kim2https://orcid.org/0000-0001-9824-1950Department of Electronics and Computer Engineering, Hongik University, Sejong, South KoreaDepartment of Computer Science, Statesboro Campus, Georgia Southern University, Statesboro, GA, USADepartment of Software and Communications Engineering, Hongik University, Sejong, South KoreaCloud computing is a paradigm that offers storage, computation, and software services on demand in the Cloud and far from end users. These services and computations are then extended to the Edge of the network with the Edge computing paradigm. This paradigm offers computation, data, and application services in close proximity of end users. Future Internet architectures will result in a fast information response time, and low latency will be a main feature of evolving 5th generation (5G) radio networks. To ensure the widespread adoption of 5G applications, low latency, security, mobility, and scalable content distribution support is required. Information-centric networking (ICN) is a newly proposed future Internet paradigm in which communication is based on content names irrespective of their locations. At the same time, ICN promises efficient content delivery, mobility support, scalability, and security for content. The Edge computing and ICN provide an opportunity to reduce latency, support mobility, security, and scalability. In this paper, discussions on Edge computing with ICN are provided. In detail, the Edge computing proposals, use cases, differences among Edge computing proposals and drivers for Edge computing are investigated. The Edge computing standardization, research, and industry/vendors collaboration overview are studied. Applications of ICN integration in Edge computing and their advantages and limitations are highlighted. We conclude our paper by describing potential directions for future research in the field of ICN over Edge computing.https://ieeexplore.ieee.org/document/8555552/Internet of thingsInformation centric networkingcloud computingedge computingcachingnaming
spellingShingle Rehmat Ullah
Syed Hassan Ahmed
Byung-Seo Kim
Information-Centric Networking With Edge Computing for IoT: Research Challenges and Future Directions
IEEE Access
Internet of things
Information centric networking
cloud computing
edge computing
caching
naming
title Information-Centric Networking With Edge Computing for IoT: Research Challenges and Future Directions
title_full Information-Centric Networking With Edge Computing for IoT: Research Challenges and Future Directions
title_fullStr Information-Centric Networking With Edge Computing for IoT: Research Challenges and Future Directions
title_full_unstemmed Information-Centric Networking With Edge Computing for IoT: Research Challenges and Future Directions
title_short Information-Centric Networking With Edge Computing for IoT: Research Challenges and Future Directions
title_sort information centric networking with edge computing for iot research challenges and future directions
topic Internet of things
Information centric networking
cloud computing
edge computing
caching
naming
url https://ieeexplore.ieee.org/document/8555552/
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