Measurement Based Admission Control Methods in IP Networks

The question of quality of service in networks of the latest generation is studied. The impact of heterogeneous traffic on the main quality of service indicators reflecting the probability of packet loss and delivery delay over time is evaluated. A model of quality of service in information communication networks has been developed to ensure low traffic delay. Taking into account the concept of quality in information communication networks, the issue of quality of service in networks of the latest generation becomes important from the standpoint of ensuring high reliability and reliability of information transmission, which significantly affects the quality of services provided to the user. This, of course, determines the need to control various parameters of equipment and communication lines, which are determined both by the features of the transmission system and by the parameters of leased channels and tracts. The basis for determining the quality of service, as mentioned above, is the provision of the international concept of quality of service (QoS). According to the requirements of the compliance control model proposed in the concept, the approach to quality indicators is structurally related to the OSI reference model. The main advantages of modern technologies of information communication networks are undoubtedly 5G technologies, which already support such resource-intensive services as massive machine-to-machine communication, ultra-reliable communication and low-latency communication. All of them require high data transfer rates, low millisecond latency, and connectivity of millions of devices. At the same time, it is necessary to ensure a high level of quality of service (QoS), which plays an important role in 5G technologies. The proposed model makes it possible to evaluate not only the quality of service of the combined traffic flow of Internet of Things, tactile Internet, and augmented reality services, but also the delivery delay and the probability of packet loss. The simulation results showed that the parameters of the quality of service of the traffic of the Internet of Things and other modern applications differ significantly during the service of the aggregate flow. When studying the service of aggregated traffic, it was established that the probability of packet loss is higher for it than for Internet of Things traffic. In addition, this difference becomes more significant when the intensity of the incoming load increases.

Several algorithms have been proposed to provide better Quality of Service (QoS) in networks. Software Defined Networks (SDN) is a new approach in networking that is revolutionizing the traditional networks. Mechanisms such as differentiated services, admission control and traffic engineering methods are used to provide QoS in SDN networks the same as the traditional networks. In addition, because of the programmability of the SDN networks and centralized control on network switches, the ability to implement many of these algorithms is provided. In this paper a new method is presented to provide better Quality of Service in SDN networks using differentiated services. In this method flows entering the network are dynamically assigned to DiffServ Queues at the output port. If needed, flows are moved between the queues so that while preventing increasing delays of existing flows new flows can be accepted by using available capacities of other queues. Simulation results show that in this way, the network utilization is increased.

Session Initiation Protocol (SIP) is a session signaling protocol designed to establish multimedia sessions (voice, video and data). Meanwhile multimedia applications are sensitive to the Quality of Service (QoS) provided by the underlying network. Therefore SIP could manage QoS for multimedia sessions by interacting with QoS mechanisms deployed in IP networks, and especially in DiffServ domain. In this paper, we present QoS management mechanisms to be deployed by SIP over an IP-MPLS network. In fact, we use SIP to achieve QoS on a session basis, in which the over all activity of the user during the session is considered. We show the implementation of our mechanisms as well as an experimental evaluation for different kind of sessions.

Service providers have been in the process of evaluating and evolving their multiple networks to a single converged Internet Protocol (IP)-based infrastructure upon which they will deploy existing and future services. Although many approaches have been proposed, provisioning of Quality of Service (QoS) in the IP-based networks is still a challenging task. From the evolution of QoS solutions, Differentiated Services (DiffServ) appears to become the mainstream QoS solution. Using service differentiation principle, DiffServ approach for providing QoS omits the integration with other traffic control mechanisms. Multi-Protocol Label Switching (MPLS) complements DiffServ providing mechanisms to choose and reserve resources on the best available path for a given traffic. This paper discusses the MPLS DiffServ integration to achieve QoS in IP-based networks and to illustrate its effectiveness by performing a simulation using Network Simulator (ns-2).

Wireless Sensor Networks (WSNs) comprise of groups of tiny sensor nodes that are deployed for collaborative missions such as environmental monitoring, target tracking and surveillance. Due to the miniature size of the nodes, they are typically deployed in large numbers and communicate via multiple hops through a wireless shared communication channel. The successful implementation of such networks is dependent on the enabling technologies (such as digital electronics and wireless communications), as well as the provisioning of Quality of Service (QoS) in the network. While there have been many efforts in QoS provisioning in traditional networks such as the Internet and Mobile Ad Hoc Networks (MANETs), these networks have very different characteristics from that of WSNs. Consequently, the QoS models and protocols that have been designed for the Internet and MANETs cannot be directly applied to WSNs. In this paper, we look at some of the existing QoS mechanisms in the networking literature, and the inherent characteristics of WSNs which make it challenging to provision for QoS in the network. We then identify some key performance metrics for WSN QoS and outline some mechanisms to achieve QoS in the sensor network. Finally, we propose WISER - a framework to enhance QoS in WIreless SEnsoR networks.

In an era of rapid urbanization, the quality of network services in urban environments is becoming increasingly important. This article explores efforts to improve network service quality in several sampang cities through an evaluation of Quality of Service (QoS) and user perceptions of Quality of Experience (QoE). The research is based on a survey conducted at various locations in sampang city to collect data on the reliability, speed, and availability of network services. The survey involved a diverse sample of users, covering a wide range of ages, professions, and levels of technology usage. In addition, we also analyzed users' perceptions of service quality based on their experiences of using the network in an urban environment. The results highlighted several key challenges in improving QoS, such as user density, signal interference, and network infrastructure limitations. However, we also found that strategies such as the use of advanced network technologies, such as 5G and beamforming, as well as traffic prioritization based on application type, can help to significantly improve QoS. In addition, we found a strong positive correlation between improved QoS and improved QoE, suggesting that improved quality of service has a direct impact on improving user experience. These findings provide valuable insights for network operators and policy makers in their efforts to improve network services in dense urban environments. The research also recommends further investment in network technologies and the development of policies that support more effective management of network traffic to ensure optimal quality of service.

Background. The introduction of fifth-generation (5G) networks creates new opportunities for fast and continuous data exchange, but there are still some problems with the quality of voice services in such networks. With the rapid development of technology and the further spread of 5G, there is a need to understand the impact of key aspects of 5G on voice quality. This requires research that can systematically analyse the features of 5G networks that affect the quality of voice services. Objective. Identification of ways to improve the quality of voice services in 5G networks. Assessment of key indicators of voice service quality in 5G networks. Determination of the best option for the gradual transition to the Standalone mode and the use of VoNR technology in the fifth generation networks. Methods. Analysis of factors affecting the quality of voice services in fifth-generation networks. Analysis of well-known publications on the implementation of 5G networks. Comparison of the implementation of Non-Standalone and Standalone modes in the 5G network. Testing of the modern EVS codec, which provides an opportunity to improve the customer experience. Results. Confirmation that 5G networks can significantly improve the quality of voice services compared to previous mobile communication technologies such as 4G and 3G. Certain factors that may affect the quality of voice services and require additional attention when planning and deploying 5G networks are identified. The optimal steps for the transition to the Standalone mode and the use of VoNR technology in fifth-generation networks are determined. The main differences in the QoS architecture between LTE and 5G are identified, and the purpose of DRB flows for separating traffic types and services is established. Conclusions. It has been confirmed that 5G networks can significantly improve the quality of voice services compared to previous technologies such as 4G and 3G. This is possible due to the broadband capabilities of 5G networks, improved data transmission, low latency, the use of an advanced EVS codec and reduced response time. However, certain factors, such as network coverage, optimisation level and traffic characteristics, can affect the quality of voice services and require additional attention when planning and deploying 5G networks. The QoS management architecture consists of QoS flows, which allow separating packet assignment to flows (managed by the CN) from the assignment of DRB flows (managed by the RAN). As 5G networks are being rolled out gradually, it is important to properly integrate the 5G domain into the existing telecoms provider's network. The transition from Non-Standalone to Dual connectivity is a necessary step for the implementation of VoNR technology in Standalone mode. Using the modern EVS codec allows not only improving the customer experience, but also introducing new voice services.

This paper presents the design of the automated resource management tool (ARMT), a software-based network management tool that automates the potentially complex manual task of global resource management in a mission-oriented, intranet environment. It allows the network operator to specify high level policies defining the network quality of service (QoS) that must be offered to the different applications sharing the IP network, under each operating mode of the network. The tool automatically handles resource conflicts in accordance with the high-level QoS policies defined by the network operator. It also monitors the network to detect events that may lead to deviations from the specified service policy and automatically implements proactive actions to ensure that the network delivers the required QoS. ARMT implements an innovative policy-driven QoS control technique which ensures that multimedia intranet applications will have an adaptive environment that permits them to coexist with other mission applications. The paper presents our experience with the implementation of a rapid prototype of the ARMT in a laboratory testbed environment.

It is estimated that the Internet currently connects millions of hosts and users worldwide, and the number will continue to increase exponentially for years to come [1]. Such a huge popularity of the Internet has enabled the widespread use of IP networks everywhere. As real-time, multimedia applications as well as new emerging applications demanding stringent quality of service (QoS) becomes common in the Internet, a single best-effort service class is no longer adequate in delivering predictable and bounded QoS performance. This drives an urgent need to provide some kind of QoS in the IP network. In addition, as IP networks are rapidly attracting pervasive commercial uses from competitive business and cooperates who are willing to pay more substantially higher price to get the best possible service level, the framework for QoS guarantee and differentiation become increasingly more important than ever. We consider offline versions of path provisioning and path protection problems for MPLS networks. The objective is to split the traffic of a broken working path to multi back up protection paths. We consider label switch path (LSP)- based protection where, in case of a single LSP failure, all the traffic utilizing the failed link can be rerouted to a pre computed set of paths.

The purpose of this research was to obtain results that clearly show the influence of quality of service in network IP/MPLS load with IPTV and VoD services. Estimating the traffic and the quality of transmission in these networks is a major indication of network performance and thus ensures optimal QoS. Measure quality of service in terms of bandwidth, latency, and jitter and loss rate. The objective of this study is to first set up an IP/MPLS network with installed multimedia services, then study the network behavior in case of congestion and finally ensure the quality of service both in transmission and do the measurement of QoS. We used the DiffServ architecture to deploy QoS and then to measure again de QoS (latency, jitter, loss rate and bandwidth).

Quality of Service on TCP / IP networks is focused on allocating bandwidth that flows in accordance with service requirements on the network. It aims to allocate guaranteed bandwidth for each service used. The increasing number of Internet users on campus networks will automatically affect the quality of services on the network. Therefore, we need a system that can improve the quality of network services by limiting the bandwidth for each service that runs. Hierarchical Token Bucket (HTB) is one method of bandwidth allocation. HTB has the task of limiting bandwidth and arranging packet queues based on priority. HTB method application is done using Software-Defined Networking (SDN) technology. SDN is a network technology that uses OpenFlow as the protocol. While OpenDaylight is one of the SDN-based controllers that supports the OpenFlow protocol. The HTB method is connected to the OpenDaylight controller via the REST API. The results obtained from four types of scenarios performed, resulting in a throughput of 10.15 Mbps, 7.08 Mbps, 3.08 Mbps for HTTP, FTP, and SMTP services respectively.

This paper deals with network performance simulation and quality of Triple-play services in IP networks. Based on our designed analytical model, the application has been created by means of which it is possible to predict qualitative parameters for QoS in IP networks, with regard to policies applied for packet processing by routers and with regard to the level of total network utilization. The contribution of this paper lies in designing a new model capable of predicting the quality of Triple-play services respecting queuing policy and transmission speed of interfaces on routers in packet networks.

A Mobile Ad Hoc Network represents a system of wireless mobile nodes that can freely and dynamically selforganize into arbitrary and temporary network topologies, allowing people and devices to seamlessly communicate without any pre-existing communication architecture. The growth of real time multimedia application in such environments, has drawn a lot of attention to wireless networks that support quality of service (QoS). In this work, the QoS metrics, delay and link life time (LLT) of the path are dynamically calculated. Based on these values the routing decisions are made. Here the multipath routing protocol is taken as the base protocol. The proposed algorithm finds the multiple QoS routes only, based on the QoS metrics and stores only those paths in the routing table. The route is selected based on the integrated QoS metric and is used to transmit the data. The base protocol used is multipath AODV(Ad Hoc On demand Distance Vector ) routing protocol. The proposed protocol may take extra time during route discovery process to compute the additional QoS parameters, but this time is compensated by having only QoS paths for data transmission. A few patents on the QoS Routing for MANETS have been reviewed.The simulator NS-2.34 is used to simulate and compare the performance of the protocols in terms of the QoS metrics such as end-to-end delay, PDR in the MANET. Keywords: Mobile Ad Hoc Network (MANET), Quality of Service (QoS), Destination Sequence Distance Vector (DSDV), Dynamic Source Routing (DSR), Ad Hoc On demand Distance Vector (AODV), LLT (Link Life Time), RLT (Route Life Time), PLTR (Percentage Life Time Ratio), TCP (Transmission Control Protocol), CBR (Constant Bit Rate), PDR (Packet Delivery Ratio).

Currently the most relevant problem is how to improve the quality of service in IP networks. In order to secure proper quality of service, the network must react adequately to the service generated load, intended to the network and contribute proper amount of resources. In this paper we analyze the quality assurance of multiple services in IP network using differentiated services. We introduce the analytical differentiated flow service model in the router and propose assumptions to evaluate the different queuing disciplines in this paper. In the differentiated services network the classification particularity of complex flow is reflected by the management of queues. Therefore the imitation model was constructed which allows to evaluate different disciplines which serve queues for three priorities flows. There was estimated the intensity effect of different class services to analyzing classes of flows delays using FIFO, PQ, CBQ and WFQ disciplines. Ill. 14, bibl. 7 (in Lithuanian; summary in Lithuanian, English, Russian).

Ensuring Quality of Service (QoS) and efficient load balancing in cloud communication networks is critical for optimizing resource allocation, minimizing latency, and enhancing service reliability. Traditional load balancing strategies often fail to scale and adapt to dynamic cloud environments, resulting in network congestion, resource underutilization, and increased operational costs. This study presents a novel Genetic Algorithm (GA)-based hyperheuristic optimization framework integrated with a mathematical model for QoS-aware load balancing, designed to address the challenges of scalability and efficiency. The model is referred to as GAHO\textsubscript{QoS}. We introduce valid inequalities to strengthen the optimization formulation, accelerating convergence and improving solution quality. Our GA-hyperheuristic framework dynamically selects and combines multiple low-level heuristics to optimize task allocation across cloud servers while adhering to QoS constraints such as latency, throughput, and energy efficiency. Experimental evaluations on a range of cloud communication scenarios demonstrate that GAHO\textsubscript{QoS} significantly reduces service latency, balances workload distribution, and optimizes resource utilization. Comparative analysis with existing metaheuristic methods, including $GA-PSO$ and $SA-GA$, confirms that the proposed framework outperforms traditional approaches in terms of computational efficiency, scalability, and QoS satisfaction. GAHO\textsubscript{QoS} provides an adaptable, computationally efficient solution for enhancing cloud network performance, contributing to the development of high-performance, energy-efficient, and robust cloud infrastructures.