Abstract
With the advent of evolution of cloud computing, large organizations have been scaling the on-premise IT infrastructure to the cloud. Although this being a popular practice, it lacks comprehensive efforts to study the aspects of automated negotiation of resources among cloud customers and providers. This paper proposes a full-fledged framework for the multi-party, multi-issue negotiation system for cloud resources. It introduces a robust cloud marketplace system to buy and sell cloud resources. The belief–desire–intention (BDI) model-based cloud customer and provider agents concurrently negotiate on multiple issues, pursuing a hybrid tactic of time- and resource-based dynamic deadline algorithms to generate offers and counter-offers. The cloud marketplace-based system is further augmented with the assignment of behavior norm score and Reputation Index to the agents to establish trust among them.
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References
N. Jennings, P. Faratin, A. Lomuscio, S. Parsons, M. Wooldridge, C. Sierra, Automated negotiation: prospects, methods and challenges. Group Decis. Negotiat. 10, 199–215 (2001)
S. Deochake, S. Sarode, S. Kanth, V. Potdar, S. Chakraborty, D. Mukhopadhyay, HENRI: high efficiency negotiation-based robust interface for multi-party multi-issue negotiation over the internet, in Proceedings of the CUBE International Information Technology Conference, pp. 647-652 (2012). https://doi.org/10.1145/2381716.2381840
M. Bratman, Intention, Plans, and Practical Reason, vol. 10 (Harvard University Press, Cambridge, MA, 1987)
M. Georgeff, B. Pell, M. Pollack, M. Tambe, M. Wooldridge, The belief-desire-intention model of agency, in Intelligent Agents V: Agents Theories, Architectures, and Languages, pp. 1–10 (1999)
M. D’Inverno, M. Luck, M. Georgeff, D. Kinny, M. Wooldridge, The dMARS architecture: a specification of the distributed multi-agent reasoning system. Auton. Agents Multi-Agent Syst. 9, 5–53 (2004)
M. Barbieri, V. Mascardi, Hive-BDI: extending jason with shared beliefs and stigmergy, in ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, vol. 2, pp. 479–482 (2011)
M.S.S. Rao, J. An, BDI: applications and architectures. Int. J. Eng. Res. Technol. (IJERT) 2 (2013)
R. Buyya, C. Yeo, S. Venugopal, J. Broberg, I. Brandic, Cloud computing and emerging IT platforms: vsion, hype, and reality for delivering computing as the 5th utility. Future Gener. Comput. Syst. 25, 599–616 (2009)
V. Stantchev, C. Schröpfer, Negotiating and enforcing QoS and SLAs in grid and cloud computing, in Advances in Grid and Pervasive Computing, pp. 25–35 (2009)
S. Venticinque, R. Aversa, B. Di Martino, M. Rak, D. Petcu, A cloud agency for SLA negotiation and management, Euro-Par 2010 Parallel Processing Workshops., pp. 587–594 (2011)
B. Shojaiemehr, A. Rahmani, N. Qader, A three-phase process for SLA negotiation of composite cloud services. Comput. Stan. Interfaces 64, 85–95 (2019)
D. Mukhopadhyay, S. Deochake, S. Kanth, S. Chakraborty, S. Sarode, MAINWAVE: multi agents and issues negotiation for web using alliance virtual engine. Smart Comput. Rev. 2, 308–317 (2012). ISSN: 2234-4624
S. Vij, M. Patrikar, D. Mukhopadhyay, A. Agrawal, A smart and automated negotiation system based on linear programming in a multilateral environment. Smart Comput. Rev. 5, 540–552 (2015). ISSN 2234-4624
S. Awasthi, S. Vij, D. Mukhopadhyay, A. Agrawal, Multi-strategy based automated negotiation: BGP based architecture, 2016 International Conference on Computing, Communication and Automation (ICCCA) (2016)
M. Cao, Dynamic time-dependent strategy model for predicting human’s offer in E-commerce negotiation. Open J. Soc. Sci. 04, 64–69 (2016)
S. Ravoor, J. Wong, Multithreaded transaction processing in distributed systems. J. Syst. Softw. 38, 107–117 (1997)
H. Cardoso, M. Schaefer, E. Oliveira, A multi-agent system for electronic commerce including adaptive strategic behaviours, in Progress in Artificial Intelligence, pp. 252–266 (1999)
P. Faratin, C. Sierra, N. Jennings, Negotiation decision functions for autonomous agents. Robot. Auton. Syst. 24, 159–182 (1998)
T. Gonzaga, C. Bentes, R. Farias, M. de Castro, A. Garcia, Using distributed-shared memory mechanisms for agents communication in a distributed system, in Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007) (2007)
N. Minsky, Law-governed multi-agent systems. ACM SIGSOFT Softw. Eng. Notes 30, 1–1 (2005)
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Deochake, S., Mukhopadhyay, D. (2021). An Agent-Based Cloud Service Negotiation in Hybrid Cloud Computing. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 1270. Springer, Singapore. https://doi.org/10.1007/978-981-15-8289-9_55
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DOI: https://doi.org/10.1007/978-981-15-8289-9_55
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