Model of an Intelligent and Automated Negotiation Agent for the Service Level Agreement Negotiation Process in Cloud Computing

Authors

  • Rishi Kumar Centre for Research in Data Science (CeRDaS), Department of Computer & Information Sciences, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak Darul Ridzuan, Malaysia
  • Mohd Fadzil Hassan Centre for Research in Data Science (CeRDaS), Department of Computer & Information Sciences, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak Darul Ridzuan, Malaysia
  • Muhamad Hariz M Adnan Faculty of Computing and Meta-Technology, Universiti Pendidikan Sultan Idris, 35900, Tanjong Malim, Perak, Malaysia

DOI:

https://doi.org/10.37934/araset.32.2.189202

Keywords:

Cloud Computing, Service Level Agreement, Intelligent Agent, Automated Negotiation Framework, Cloud Services, negotiation

Abstract

With the help of an intelligent agent, a cloud service provider (CSP) offers various services and resources to their customers over the internet. Consumers and CSPs in the cloud market are in a constant state of negotiation over their individual needs. Competition among CSPs is fierce because of the enormous number of CSPs in the market. Intelligent negotiation agents are highly demanding as a timesaving and success rate-enhancing tool. While negotiating, multiple attributes such as price, resources, reliability, CSP performance, utility value, and many more are considered. There’s increased false negotiations, faulty servers, and exorbitant fees are all issues arising because of the forever changing CSP market. An intelligent and automated negotiation agent (IANA) understands the conduct of the opponent and the needs of both parties. This need of users and CSP information is utilized in negotiations to find the best possible delivery of services between the customer and the CSP. As a result of the proposed design, negotiations are expedited, and there is a higher success rate and better oversight of service delivery.

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Author Biographies

Rishi Kumar, Centre for Research in Data Science (CeRDaS), Department of Computer & Information Sciences, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak Darul Ridzuan, Malaysia

rishi_18001163@utp.edu.my

Mohd Fadzil Hassan, Centre for Research in Data Science (CeRDaS), Department of Computer & Information Sciences, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak Darul Ridzuan, Malaysia

mfadzil_hassan@utp.edu.my

Muhamad Hariz M Adnan, Faculty of Computing and Meta-Technology, Universiti Pendidikan Sultan Idris, 35900, Tanjong Malim, Perak, Malaysia

mhariz@meta.upsi.edu.my

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Published

2023-09-17

Issue

Section

Articles