A user-priorities-based strategy for three-phase intelligent recommendation and negotiating agents for cloud services

Muhamad Hariz Muhamad Adnan

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Type :	article
Subject :	T Technology (General)
ISSN :	2169-3536
Main Author :	Muhamad Hariz Muhamad Adnan
Title :	A user-priorities-based strategy for three-phase intelligent recommendation and negotiating agents for cloud services

Place of Production :	Tanjung Malim
Publisher :	Fakulti Komputeran dan Meta Teknologi
Year of Publication :	2023
Notes :	IEEE Access
Corporate Name :	Universiti Pendidikan Sultan Idris
HTTP Link :	Click to view web link

Abstract : Universiti Pendidikan Sultan Idris

As the field of information technology expands, there is a huge need for cloud service providers (CSP). CSP's vast solutions and services support Cloud, IoT, Fog, and Edge computing. In today's competitive cloud market, customer satisfaction is critical more than ever. CSP and consumer satisfaction with service level agreement (SLA) fulfillment have always been given more attention. As a result of signing SLA and CSP agreements to supply resources in high demand, customers are now experiencing issues with resource delivery. Cloud and heterogeneous environments necessitate an intelligent recommender and negotiation agent model (IRNAM) to handle responsibilities in the current system. The Recommender system recommends CSP as per users' priorities, which eases the filtration process. The negotiation process provided by IRNAM ensures that users' choices are prioritized with maximum jobs to CSP. IRNAM keeps track of the most critical metrics and can reach decisions quickly and for the best possible deal. It uses an analytical concession algorithm that analyzes consumer and CSP choices to find a reliable, secure server with the simplest solution. The negotiation process uses user's and CSP choice metrics, performance factors, evaluation measures, and success factors in the best execution time to decide. IRNAM provides a flexible and valuable way for selecting CSP and negotiating for services on the user's terms while considering CSP satisfaction. 2013 IEEE.

References

R. Buyya, R. Buyya, J. Broberg, A. Gościński, and L. Wiley Online, Cloud computing : principles and paradigms, 1st edition ed. (Wiley series on parallel and distributed computing). Hoboken, N.J: Wiley (in English), 2011.

Z. Ma, M. H. Nejat, H. Vahdat-Nejad, B. Barzegar, and S. Fatehi, "An Efficient Hybrid Ranking Method for Cloud Computing Services Based on User Requirements," IEEE Access, vol. 10, pp. 72988-73004, 2022, doi: 10.1109/access.2022.3189172.

J. Velte, A. Velte, and R. C. Elsenpeter, "Cloud Computing, A Practical Approach," 2009.

A. Elhabbash, F. Samreen, J. Hadley, and Y. Elkhatib, "Cloud Brokerage," ACM Computing Surveys, vol. 51, no. 6, pp. 1-28, 2019, doi: 10.1145/3274657.

C. Savaglio, M. Ganzha, M. Paprzycki, C. Bădică, M. Ivanović, and G. Fortino, "Agent-based Internet of Things: State-of-the-art and research challenges," Future Generation Computer Systems, vol. 102, pp. 1038-1053, 2020, doi: 10.1016/j.future.2019.09.016.

F. De la Prieta, S. Rodríguez-González, P. Chamoso, J. M. Corchado, and J. Bajo, "Survey of agent-based cloud computing applications," Future Generation Computer Systems, vol. 100, pp. 223-236, 2019, doi: 10.1016/j.future.2019.04.037.

R. d. Qi, J. t. Zhou, Z. Wang, and X. Song, "An elastic recommender process for cloud service recommendation scalability," Concurrency and Computation: Practice and Experience, vol. 34, no. 21, 2022, doi: 10.1002/cpe.7066.

R. R. Kumar, A. Tomar, M. Shameem, and M. N. Alam, "OPTCLOUD: An Optimal Cloud Service Selection Framework Using QoS Correlation Lens," Comput Intell Neurosci, vol. 2022, p. 2019485, 2022, doi: 10.1155/2022/2019485.

B. Shojaiemehr, A. M. Rahmani, and N. N. Qader, "Cloud computing service negotiation: A systematic review," Computer Standards & Interfaces, vol. 55, pp. 196-206, 2018, doi: 10.1016/j.csi.2017.08.006.

R. Rajavel and M. Thangarathinam, "ADSLANF: A negotiation framework for cloud management systems using a bulk negotiation behavioral learning approach," Turkish Journal of Electrical Engineering & Computer Sciences, vol. 25, pp. 563-590, 2017, doi: 10.3906/elk-1403-45.

B. Shojaiemehr and M. K. Rafsanjani, "A supplier offer modification approach based on fuzzy systems for automated negotiation in e-commerce," Information Systems Frontiers, vol. 20, no. 1, pp. 143-160, 2016, doi: 10.1007/s10796-016-9688-0.

B. Shojaiemehr, A. M. Rahmani, and N. N. Qader, "A three-phase process for SLA negotiation of composite cloud services," Computer Standards & Interfaces, vol. 64, pp. 85-95, 2019, doi: 10.1016/j.csi.2019.01.001.

B. Shojaiemehr, A. M. Rahmani, and N. N. Qader, "Automated negotiation for ensuring composite service requirements in cloud computing," Journal of Systems Architecture, vol. 99, 2019, doi: 10.1016/j.sysarc.2019.08.005.

T. N. Mujawar and L. B. Bhajantri, "Behavior and feedback based trust computation in cloud environment," Journal of King Saud University - Computer and Information Sciences, vol. 34, no. 8, pp. 4956-4967, 2022, doi: 10.1016/j.jksuci.2020.12.003.

W. Li, J. Cao, S. Qian, and R. Buyya, "Tslam," ACM Transactions on Autonomous and Adaptive Systems, vol. 13, no. 4, pp. 1-41, 2019, doi: 10.1145/3317604.

R. Kumar, M. F. Hassan, and M. H. M. Adnan, "A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing," presented at the 2022 2nd International Conference on Computing and Information Technology (ICCIT), 2022.

S. Shukla, M. F. Hassan, M. K. Khan, L. T. Jung, and A. Awang, "An analytical model to minimize the latency in healthcare internet-of-things in fog computing environment," PLoS One, vol. 14, no. 11, p. e0224934, 2019, doi: 10.1371/journal.pone.0224934.

S. Sudhakar, N. S. Nithya, and B. L. Radhakrishnan, "Fair service matching agent for federated cloud," Computers & Electrical Engineering, vol. 76, pp. 13-23, 2019, doi: 10.1016/j.compeleceng.2019.03.002.

R. Buyya et al., "A Manifesto for Future Generation Cloud Computing," ACM Computing Surveys, vol. 51, no. 5, pp. 1-38, 2018, doi: 10.1145/3241737.

S. Kwang Mong, "Agent-Based Cloud Computing," IEEE Transactions on Services Computing, vol. 5, no. 4, pp. 564-577, 2012, doi: 10.1109/tsc.2011.52.

K. M. Sim, "Agent-Based Approaches for Intelligent Intercloud Resource Allocation," IEEE Transactions on Cloud Computing, vol. 7, no. 2, pp. 442-455, 2019, doi: 10.1109/tcc.2016.2628375.

R. Kumar, M. F. Hassan, and M. H. M. Adnan, "Intelligent Negotiation Agent Architecture for SLA Negotiation Process in Cloud Computing," Singapore, 2021: Springer Singapore, in Proceedings of International Conference on Machine Intelligence and Data Science Applications, pp. 771-778.

M. H. Adnan, M. F. Hassan, I. A. Aziz, and N. A. Rashid, "A Survey and Future Vision of Double Auctions-Based Autonomous Cloud Service Negotiations," in Recent Trends in Data Science and Soft Computing, (Advances in Intelligent Systems and Computing, 2019, ch. Chapter 46, pp. 488-498.

S. K. Garg, S. Versteeg, and R. Buyya, "A framework for ranking of cloud computing services," Future Generation Computer Systems, vol. 29, no. 4, pp. 1012-1023, 2013, doi: 10.1016/j.future.2012.06.006.

F. Nadeem, "A Unified Framework for User-Preferred Multi-Level Ranking of Cloud Computing Services Based on Usability and Quality of Service Evaluation," IEEE Access, vol. 8, pp. 180054-180066, 2020, doi: 10.1109/access.2020.3027775.

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