Uneingeschränkter Zugang

A Combinatorial Auction Mechanism for Time–Varying Multidimensional Resource Allocation and Pricing in Fog Computing

International Journal of Applied Mathematics and Computer Science's Cover Image
International Journal of Applied Mathematics and Computer Science
Automation and Communication Systems for Autonomous Platforms (Special section, pp. 171-218), Zygmunt Kitowski, Paweł Piskur and Stanisław Hożyń (Eds.)

Zitieren

Aggarwal, A., Kumar, N., Vidyarthi, D. and Buyya, R. (2021). Fog-integrated cloud architecture enabled multi-attribute combinatorial reverse auctioning framework, Simulation Modelling Practice and Theory 109: 102307. Search in Google Scholar

Alibaba (2019). Alibaba cloud, https://tianchi.aliyun.com/. Search in Google Scholar

Angelelli, E. and Filippi, C. (2011). On the complexity of interval scheduling with a resource constraint, Theoretical Computer Science 412(29): 3650–3657. Search in Google Scholar

Bandyopadhyay, A., Roy, T., Sarkar, V. and Mallik, S. (2020). Combinatorial auction-based fog service allocation mechanism for IoT applications, 2020 10th International Conference on Cloud Computing, Data Science and Engineering (Confluence), Noida, India, pp. 518–524. Search in Google Scholar

Baranwal, G. and Kumar, D. (2020). DAFNA: Decentralized auction based fog node allocation in 5G era, 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), Rupnagar, Punjab, India, pp. 575–580. Search in Google Scholar

Bermbach, D., Maghsudi, S., Hasenburg, J. and Pfandzelter, T. (2020). Towards auction-based function placement in serverless fog platforms, 2020 IEEE International Conference on Fog Computing (ICFC), Sydney, Australia, pp. 25–31. Search in Google Scholar

Besharati, R., Rezvani, M. and Sadeghi, M. (2021). An incentive-compatible offloading mechanism in fog-cloud environments using second-price sealed-bid auction, Journal of Grid Computing 19(3): 37. Search in Google Scholar

Chang, B.-J., Hwang, R.-H., Tsai, Y.-L., Yu, B.-H. and Liang, Y.-H. (2019). Cooperative adaptive driving for platooning autonomous self driving based on edge computing, International Journal of Applied Mathematics and Computer Science 29(2): 213–225, DOI: 10.2478/amcs-2019-0016. Search in Google Scholar

Ghobaei-Arani, M., Souri, A. and Rahmanian, A. (2020). Resource management approaches in fog computing: A comprehensive review, Journal of Grid Computing 18(1): 1–42. Search in Google Scholar

Guo, Y., Saito, T., Oma, R., Nakamura, S., Enokido, T. and Takizawa, M. (2020). Distributed approach to fog computing with auction method, Advanced Information Networking and Applications 1151: 268–275. Search in Google Scholar

Han, C., Zhang, P., Wang, W., Wang, W., Wang, Y. and Zhang, Z. (2019). Delay-optimal joint processing in computation-constrained fog radio access networks, IEEE Access 7: 58857–58865. Search in Google Scholar

Houshyar, M., Seyyed, J., Hamidreza, N. and Afshin, R. (2021). A new resource allocation method in fog computing via non-cooperative game theory, Journal of Intelligent & Fuzzy Systems 41(2): 3921–3932. Search in Google Scholar

Junior, F., Dias, K., d’Orey, P. and Kokkinogenis, Z. (2021). Fogwise: On the limits of the coexistence of heterogeneous applications on fog computing and Internet of vehicles, Transactions on Emerging Telecommunications Technologies 32(1): e4145. Search in Google Scholar

Kayal, P. and Liebeherr, J. (2019). Distributed service placement in fog computing: An iterative combinatorial auction approach, 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), Richardson, USA, pp. 2145–2156. Search in Google Scholar

Leao, A., Cherri, L. and Arenales, M. (2014). Determining the k-best solutions of knapsack problems, Computers & Operations Research 49: 71–82. Search in Google Scholar

Lee, Y., Jeong, S., Masood, A., Park, L., Dao, N. and Cho, S. (2020). Trustful resource management for service allocation in fog-enabled intelligent transportation systems, IEEE Access 8: 147313–147322. Search in Google Scholar

Li, S., Liu, H., Li, W. and Sun, W. (2023). An optimization framework for migrating and deploying multiclass enterprise applications into the cloud, IEEE Transactions on Services Computing 16(2): 941–956. Search in Google Scholar

Li, S. and Sun, W. (2021). Utility maximisation for resource allocation of migrating enterprise applications into the cloud, Enterprise Information Systems 15(2): 197–229. Search in Google Scholar

Li, S., Zhang, Y., Wang, Y. and Sun, W. (2019). Utility optimization-based bandwidth allocation for elastic and inelastic services in peer-to-peer networks, International Journal of Applied Mathematics and Computer Science 29(1): 111–123, DOI: 10.2478/amcs-2019-0009. Search in Google Scholar

Mashayekhy, L., Nejad, M., Grosu, D. and Vasilakos, A. (2016). An online mechanism for resource allocation and pricing in clouds, IEEE Transactions on Computers 65(4): 1172–1184. Search in Google Scholar

Peng, X., Ota, K. and Dong, M. (2020). Multiattribute-based double auction toward resource allocation in vehicular fog computing, IEEE Internet of Things Journal 7(4): 3094–3103. Search in Google Scholar

Sharghivand, N., Derakhshan, F. and Siasi, N. (2021). A comprehensive survey on auction mechanism design for cloud/edge resource management and pricing, IEEE Access 9: 126502–126529. Search in Google Scholar

Song, F., Ai, Z., Zhang, H., You, I. and Li, S. (2021a). Smart collaborative balancing for dependable network components in cyber-physical systems, IEEE Transactions on Industrial Informatics 17(10): 6916–6924. Search in Google Scholar

Song, F., Li, L., You, I. and Zhang, H. (2021b). Enabling heterogeneous deterministic networks with smart collaborative theory, IEEE Network 35(3): 64–71. Search in Google Scholar

Sun, H., Yu, H. and Fan, G. (2020). Contract-based resource sharing for time effective task scheduling in fog-cloud environment, IEEE Transactions on Network and Service Management 17(2): 1040–1053. Search in Google Scholar

Tasiopoulos, A., Onur, A., Ioannis, P. and George, P. (2018). Edge-map: Auction markets for edge resource provisioning, 2018 IEEE 19th International Symposium “A World of Wireless, Mobile and Multimedia Networks (WoWMoM)”, Chania, Greece, pp. 14–22. Search in Google Scholar

Zaman, S. and Grosu, D. (2012). Combinatorial auction-based allocation of virtual machine instances in clouds, Journal of Parallel and Distributed Computing 73(4): 495–508. Search in Google Scholar

Zhang, J., Li, J., Li, W. and Zhang, X. (2019). A fair distribution strategy based on shared fair and time-varying resource demand, Journal of Computer Research and Development 56(7): 1534–1544. Search in Google Scholar

Zhang, J., Yang, X., Xie, N., Zhang, X., Vasilakos, A. and Li, W. (2020). An online auction mechanism for time-varying multidimensional resource allocation in clouds, Future Generation Computer Systems 111: 27–38. Search in Google Scholar

Zhu, L., Sun, L. and Yan, Y. (2020). Parking assistance scheme based on reverse auction in vehicle fog computing, Computer Engineering 46(7): 14–20. Search in Google Scholar

eISSN:
2083-8492
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Mathematik, Angewandte Mathematik