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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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To model the power measurement conditions of an energy system, an initial reference should be made within the specification of a generic energy consumption (EC) model. This EC model is based on the energy state of a system comprising goods, networks, and services, which supports energy management capabilities. Therefore, a prototype tool to record power consumption (PC) at the device level is designed and implemented, thereby enabling devise use optimization. The core is to collect energy-related information in internet protocol networks that support the simple network management protocol, in addition to the standard proposed in RFC-7460, and the green information technology. The information obtained is related to the energy consumed by devices that support those technologies. Then, the information is processed to evaluate different PC characteristics of the network. This research impacts the knowledge gap of information system management, where the objective sought is to establish metrics and methodological schemes for obtaining data regarding measurable behaviors in the EC field. [ABSTRACT FROM AUTHOR]

To model the power measurement conditions of an energy system, an initial reference should be made within the specification of a generic energy consumption (EC) model. This EC model is based on the energy state of a system comprising goods, networks, and services, which supports energy management capabilities. Therefore, a prototype tool to record power consumption (PC) at the device level is designed and implemented, thereby enabling devise use optimization. The core is to collect energy-related information in internet protocol networks that support the simple network management protocol, in addition to the standard proposed in RFC-7460, and the green information technology. The information obtained is related to the energy consumed by devices that support those technologies. Then, the information is processed to evaluate different PC characteristics of the network. This research impacts the knowledge gap of information system management, where the objective sought is to establish metrics and methodological schemes for obtaining data regarding measurable behaviors in the EC field

Abstract – Installation of the honepot sensor on Raspberry Pi device integrated with Modern Honey Network (MHN) is a DSSDI UGM action to see the threats of existing public Network, so it can be preventive action. But the installed Honeypot sensors sometimes have problems in the form of overload on the System so that data attacks are not recorded. It is necessary to develop a monitoring System on the Honeypot System to monitor and manage System resources and to analyze Honeypot data needs. System monitoring which is one of the Network Management System (NMS) functions can be implemented with Simple Network Management Protocol (SNMP) to monitor the performance of Honeypot sensor devices. From monitoring the Honeypot System shows the Honeypot sensor device overloaded in memory. In addition, from the monitoring is seen the influence of the number of attacks on System performance. Keywords - Honeypot, Modern Honey Network (MHN), Network Management System (NMS), Simple Network Management Protocol (SNMP)

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]

Virtual local area network (VLAN)'s are being created for improve performance, easy to manage security and ensure address on local area networks. This paper introduces a new approach for load balancing on virtual local area networks. The method which is developed for this approach, is dynamically changing the clients ports VLAN membership according to VLAN's total traffic of the same security policy. The clients which have to register to security VLAN, can access their permission level source at all physically location of LAN, this is the flexibility of the method. The VLAN count which have to be on the LAN, can adjust parametrically or default constantly. In the algorithm which developed for this approach, the hosts belong to traffic on the network, ensures as much as possible equal or nearest distributes homogeneous on the VLAN's. In this way the VLAN's have same or nearest traffic value. A software has developed for testing functionality of this method which using SNMP protocol and reached to the aims by testing on the real network. [ABSTRACT FROM AUTHOR]