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Cloud computing is a massive amount of dynamic ad distributed resources that are delivered on request to clients over the Internet. Typical centralized cloud computing models may have difficulty dealing with challenges caused by IoT applications, such as network failure, latency, and capacity constraints. One of the introduced methods to solve these challenges is fog computing which makes the cloud closer to IoT devices. A system for dynamic congestion management brokerage is presented in this paper. With this proposed system, the IoT quality of service (QoS) requirements as defined by the service-level agreement (SLA) can be met as the massive amount of cloud requests come from the fog broker layer. In addition, a forwarding policy is introduced which helps the cloud service broker to select and forward the high-priority requests to the appropriate cloud resources from fog brokers and cloud users. This proposed idea is influenced by the weighted fair queuing (WFQ) Cisco queuing mechanism to simplify the management and control of the congestion that may possibly take place at the cloud service broker side. The system proposed in this paper is evaluated using iFogSim and CloudSim tools, and the results demonstrate that it improves IoT (QoS) compliance, while also avoiding cloud SLA violations. [ABSTRACT FROM AUTHOR]

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Background: In the fast-moving world of digital technology, strong network monitoring is essential for companies to stay ahead and run smoothly. Tools that manage networks help businesses quickly adjust to changes in the market and boost their overall performance. This study looks into how SNMP-based monitoring tools, especially Check MK and Zabbix, work in a network that's built on virtual machines using the latest ESXi 8.0.2 software. Objective: The study aims to conduct a comparative analysis of Check MK and Zabbix within a virtualized network environment, evaluating their user interfaces, functionality, and the precision of the network data provided. Central to this research is understanding how each tool aligns with the requirements of modern network management, with a particular focus on the essential importance of ongoing network monitoring and the role of SNMP, a protocol extensively utilized for its reliability and scalability in network management across various platforms. Material and methods: In this research, a virtual network environment was created using ESXi 8.0.2 on a physical server, employing virtual machines to simulate a real-world network.In this environment, several types of network equipment have been created, establishing a comprehensive framework for the comparative analysis of Check MK and Zabbix. The study evaluated each tool from installation to routine operation, with a focus on user interface accessibility, integration ease, and the effectiveness of managing and adding network hosts, aiming to elucidate their relative merits in a contemporary, virtualized network setting. Results : The evaluation highlight Check MK's emphasis on user-friendly interfaces and plug-and-play functionality, alongside Zabbix's strong points in scalability and predictive analytics for extensive networks. Check MK is adept at quick setup and flexible monitoring, whereas Zabbix is performing in its capacity to manage large-scale network behaviors, showcasing the diverse strengths of each tool tailored to varied network management requirements. Conclusions: This research emphasizes the importance of choosing a network monitoring tool that not only have robust capabilities but also matches the unique needs of the network it monitors. With the increasing complexity of digital infrastructure, selecting the right monitoring tool is decisive. The study highlights the vital role these tools play in maintaining network reliability and contributing to the success of IT operations, underlining the significance of network monitoring and the essential function of SNMP in achieving these objectives. [ABSTRACT FROM AUTHOR]