Nnaji, Uche Josiah and Covenant University, Theses (2023) DEVELOPMENT OF AN AUTOMATED SERVICE LEVEL AGREEMENT NEGOTIATION FRAMEWORK FOR SAAS CLOUD E-MARKETPLACE. Masters thesis, Covenant University Ota.
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Abstract
With the rising number of Software-as-a-Service (SaaS) users, meeting their diverse needs while maintaining Quality of Service (QoS) has become crucial. SaaS providers continually offer new applications with different offerings and QoS parameters, but individual user QoS requirements can be overlooked in the current Cloud e-marketplace. To address this, Service Level Agreement (SLA) negotiations are used for cloud service selection and to guarantee SaaS user satisfaction, often facilitated by brokers. These brokers ensure optimal offers from providers, considering the user's preferences. Brokers ensure that before an agreement is initialized, cloud providers are ranked, and negotiation occurs only if the user does not accept the offer of the best provider. Selecting the most suitable provider and negotiating these QoS parameters can be a complex task for brokers given the high number of users and providers. This paper aims to present a negotiation framework that increases the customer satisfaction value of SaaS users using a service broker. The proposed framework leverages multi-agent systems (MAS) as the methodology for our proposed negotiation framework. By adopting this proposed negotiation framework, SaaS users can get services from providers that can meet their specific requirements. The experimental results obtained during the simulation show that the proposed framework performs better in terms of the level of satisfaction, response time, and success rate of negotiation compared to previous studies.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Multi-agent system, SaaS, Cloud e-marketplace, Service ranking, SLA negotiation. |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | nwokealisi |
| Date Deposited: | 12 Sep 2023 10:36 |
| Last Modified: | 12 Sep 2023 10:36 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/17298 |
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