Cloud Computing and Resource Management
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This research uses Hybrid leader-based optimization (HLBO)-based SLA negotiation in cloud computing based on the parameters, such as utility, negotiation time, and request satisfaction to assess an effectiveness of HLBO-based SLA negotiation in cloud computing.
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Service level agreement (SLA) is a significant strategy in guaranteeing the performance of cloud service and it improves the trust amongst Cloud Service Providers (CSPs) and cloud service customers. The SLA have been concerned a lot of attention from research communities in previous research works. In this research, the SLA negotiation is carried out using Hybrid leader-based optimization (HLBO)-based SLA negotiation in cloud computing based on the parameters, such as utility, negotiation time, and request satisfaction. The Virtual Machine (VM) scheduling in cloud computing is done between the Cloud Service Users (CSUs), User agent (UA), Brokers (Bs), and Cloud Service Provider (CSP). The CSUs contains multiple UA and the BS searches the optimal CSP, which is done using HLBO optimization algorithm and the optimal CSP is recommended to the UA. In addition, the requested service is monitored in this model. If SLA amongst CSU and CSP satisfies, then the resources are swapped, else a mediation of SLA negotiation is done with Broker-based SLA negotiations framework. Moreover, an effectiveness of HLBO-based SLA negotiation is assessed based on the evaluation metrics, such as Utility, Negotiation time and Request satisfaction of 0.7193, 0.6648 and 0.9245, correspondingly.
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@article{Supreeth2026Broker,
title = {Broker-based SLA negotiations with optimization for scheduling virtual machines in cloud computing},
author = {S. Supreeth and Kiran Kumari Patil},
journal = {Discover Networks},
year = {2026},
doi = {10.1007/s44354-026-00040-3},
url = {https://doi.org/10.1007/s44354-026-00040-3}
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