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Edge Computing and Networking: A Survey on Infrastructures and Applications
- Source :
- IEEE Access, Vol 7, Pp 101213-101230 (2019)
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- As a concept to enhance and extend cloud-computing capabilities, edge computing aims to provide Internet-based services in the close proximity to users by placing IT infrastructures at the network edge in forms of tiny datacenters. Taking advantage of the close distance to end user and access networks, edge datacenters can provide low-latency and context-aware services and further improve users' quality of experience. As the network edge is a geographically spread concept, the edge datacenters are usually highly distributed so that they can provide nearby storage and processing capabilities to most of the end users. Furthermore, edge datacenters also co-work with centralized cloud datacenters for service orchestration. Such decentralization and collaboration are expected to introduce significant transformations to both infrastructures and applications. To provide an overview of how edge can be integrated with cloud-computing and how edge computing can benefit applications, this paper studies the infrastructure and application issues of edge computing and networking in several sub-aspects, including related concepts, infrastructures, resource management and virtualization, performance, and applications.
- Subjects :
- IoT
General Computer Science
Edge device
Computer science
Cloud computing
02 engineering and technology
computer.software_genre
Decentralization
SDN
NFV
0202 electrical engineering, electronic engineering, information engineering
datacenter
General Materials Science
Resource management
Orchestration (computing)
Quality of experience
Edge computing
Access network
business.industry
General Engineering
020206 networking & telecommunications
Virtualization
cloud-computing
C-RAN
020201 artificial intelligence & image processing
The Internet
lcsh:Electrical engineering. Electronics. Nuclear engineering
Enhanced Data Rates for GSM Evolution
business
lcsh:TK1-9971
computer
Computer network
Subjects
Details
- ISSN :
- 21693536
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....c731faa2eb579ba2f6f9272c6cb43bd6
- Full Text :
- https://doi.org/10.1109/access.2019.2927538