The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey
Open accessAbstract
This paper presents a comprehensive literature review on applications of economic and pricing models for resource management in cloud networking. To achieve sustainable profit advantage, cost reduction, and flexibility in provisioning of cloud resources, resource management in cloud networking requires adaptive and robust designs to address many issues, e.g., resource allocation, bandwidth reservation, request allocation, and workload allocation. Economic and pricing models have received a lot of attention as they can lead to desirable performance in terms of social welfare, fairness, truthfulness, profit, user satisfaction, and resource utilization. This paper reviews applications of the economic and pricing models to develop adaptive algorithms and protocols for resource management in cloud networking. Besides, we survey a variety of incentive mechanisms using the pricing strategies in sharing resources in edge computing. In addition, we consider using pricing models in cloud-based software defined wireless networking. Finally, we highlight important challenges, open issues and future research directions of applying economic and pricing models to cloud networking.
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Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000016 · Cited by 17,075
17. A Value for n-Person Games
Shapley, L. S. (1953) · Contributions to the Theory of Games (AM-28), Volume II · doi:10.1515/9781400881970-018 · Cited by 6,950
The case for vm-based cloudlets in mobile computing
Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660
The Fog Computing Paradigm: Scenarios and Security Issues
Stojmenovic, I., & Wen, S. (2014) · Annals of Computer Science and Information Systems · doi:10.15439/2014f503 · Cited by 1,037
Edge-centric Computing: Vision and Challenges
Garcia Lopez, P., Montresor, A., Epema, D., Datta, A., Higashino, T., Iamnitchi, A., Barcellos, M., Felber, P., & Riviere, E. (2015) · ACM SIGCOMM Computer Communication Review · doi:10.1145/2831347.2831354 · Cited by 934
Fog Computing Micro Datacenter Based Dynamic Resource Estimation and Pricing Model for IoT
Aazam, M., & Huh, E.-N. (2015) · 2015 IEEE 29th International Conference on Advanced Information Networking and Applications · doi:10.1109/aina.2015.254 · Cited by 365 · cited 2×
“However, Aazam and Huh [188] investigated refunding the remaining amount to a user when its service consumption will be discontinued.”
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Cited by
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Mach, P., & Becvar, Z. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2682318 · Cited by 3,258
Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges
Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3020092 · Cited by 261
Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends
Moura, J., & Hutchison, D. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2863030 · Cited by 193
Agarwal, B., Togou, M. A., Ruffini, M., & Muntean, G.-M. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3207967 · Cited by 123
Abozariba, R., Naeem, M. K., Patwary, M., Seyedebrahimi, M., Bull, P., & Aneiba, A. (2019) · IEEE Access · doi:10.1109/access.2019.2896008 · Cited by 43
Metadata
- Authors
- Luong, N. C., Wang, P., Niyato, D., Wen, Y., & Han, Z.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2017
- Volume
- 19
- Issue
- 2
- Pages
- 954-1001
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2568817620
- Cited by
- 230
- References
- 6
- FWCI
- 68.26
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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