Multi-dimensional Resource Management System Based on Blockchain and Cybertwin
Article No.: 53, Pages 1 - 5
Abstract
With the rapid development of 6G and the Internet of Things, a large number of terminal devices are connected to the network, and the cloud service scheduling problem in the edge computing scenario has become a difficult problem. This paper divides the computationally intensive tasks into delay-sensitive and delay-tolerant. For these two types of tasks, we proposed different offloading strategies, and analyzed the time cost and energy consumption cost of different strategies. As edge clouds are more vulnerable to malicious attacks. Therefore, we propose an architecture based on the combination of Cybertwin and blockchain to schedule and manage cloud service resources which can ensure the computing tasks are completed more credibly.
References
[1]
Yang T, Feng H, Gao S, Two-stage offloading optimization for energy-latency tradeoff with mobile edge computing in maritime Internet of Things[J]. IEEE Internet of Things Journal, 2019.
[2]
Yu Q, Ren J, Fu Y, Cybertwin: An origin of next generation network architecture[J]. IEEE Wireless Communications, 2019, 26(6): 111-117.
[3]
Yu Q, Ren J, Zhou H, A Cybertwin based Network Architecture for 6G[C]//2020 2nd 6G Wireless Summit (6G SUMMIT). IEEE, 2020: 1-5.
[4]
Xu C, Wang K, Guo M. Intelligent resource management in blockchain-based cloud datacenters[J]. IEEE Cloud Computing, 2017, 4(6): 50-59.
[5]
Luong N C, Xiong Z, Wang P, Optimal auction for edge computing resource management in mobile blockchain networks: A deep learning approach[C]//2018 IEEE International Conference on Communications (ICC). IEEE, 2018: 1-6.
[6]
Gupta S S. Blockchain[M]. John Wiley & Sons, Inc, 2017.
[7]
Zhou A, Sun Q, Li J. BCEdge: Blockchain‐based resource management in D2D‐assisted mobile edge computing[J]. Software: Practice and Experience, 2019.
[8]
Liufei Chen, Yushan Li, Hong Wen, Wenxin Lei, Wenjing Hou, Jie Chen, Block Chain Based Secure Scheme For Mobile Communication,2018 IEEE Conference on Communications and Network Security, Beijing, China, May 30 - June 1, 2018.
[9]
Zhiwei Chen, Aidong Xu, Hong Wen, Yunan Zhang and Xinchen Xu, Aviation Terminal Data Security Architecture based on Blockchain, ISAI2020.
[10]
Hou, W., Jiang, Y., Lei, W. A P2P network based edge computing smart grid model for efficient resources coordination. Peer-to-Peer Netw. Appl. vol. 13, no.3, pp.1026–1037, 2020.
[11]
Wenxin Lei, Aidong Xu, Haojie Lin, Wenjing Hou, Yunan Zhang, Yixin Jiang, Zhongqi Mao and Hong Wen. On-line Detection of Malicious Activities Based on Edge Computing in Micro-grid System, ICNISC2020.
Index Terms
- Multi-dimensional Resource Management System Based on Blockchain and Cybertwin
Index terms have been assigned to the content through auto-classification.
Recommendations
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
AbstractCloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) to provide compute, network, and storage capabilities to the clients utilizing the pay-per-use model. On the ...
Supporting Multi-Provider Serverless Computing on the Edge
ICPP Workshops '18: Workshop Proceedings of the 47th International Conference on Parallel ProcessingServerless computing has recently emerged as a new execution model for cloud computing, in which service providers offer compute runtimes, also known as Function-as-a-Service (FaaS) platforms, allowing users to develop, execute and manage application ...
Blockchain based resource allocation in cloud and distributed edge computing: A survey
AbstractCloud computing and distributed edge computing provide computing resources to meet the surging demands for computing caused by developments in technologies such as the Internet of Things (IoT) and Mobile communication (5G). Centralized ...
Highlights- A discussion on resource allocation in cloud and edge computing is provided.
- ...
Comments
Information & Contributors
Information
Published In
January 2021
1142 pages
ISBN:9781450389570
DOI:10.1145/3448734
Copyright © 2021 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 May 2021
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
CONF-CDS 2021
CONF-CDS 2021: The 2nd International Conference on Computing and Data Science
January 28 - 30, 2021
CA, Stanford, USA
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 112Total Downloads
- Downloads (Last 12 months)7
- Downloads (Last 6 weeks)1
Reflects downloads up to 09 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format