Quality of Service in Cost Models (original) (raw)
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A strategic pricing for quality of service (QoS) network business
In order to support emerging network businesses, such as Voice-over-IP (VoIP), virtual learning, video conferencing, and telemedicine, the Internet has to provide classes of service that are better than traditional 'best-effort' service. In computer networks, Quality of Service (QoS) is defined as the mechanisms that allow differentiation of network services based on their unique service requirements. To provide QoS over the current Internet, the Internet Engineering Task Force (IETF) and others have proposed a number of architectures, including Integrated Service (IntServ) and Differentiated Service (DiffServ). This research examines the basic issue of designing pricing models for Internet services at various quality levels. By formulating a pricing formula that is based on price-quality schema drawn from marketing theory, this research provides a unique approach to understand the pricing of Internet services. The pricing model in this research provides a flexible and dynamic capability to develop Internet pricing for upcoming digital economy.
Control Engineering Practice, 2003
Starting from the mid-1990s, a growing attention has been devoted to more and more sophisticate pricing models for telecommunication services. A number of pricing models have been proposed and analyzed in the context of quality of service (QoS) guaranteed networks and, more recently, also for best effort (BE) environments. Concerning QoS networks, the optimization often influences the call admission control (CAC). In a BE network, where users do not declare QoS parameters and there is no CAC, the pricing policies should be integrated within the flow control and they are different from those adopted in the QoS environments. In this paper we investigate the condition where both BE traffic and traffic explicitly requiring QoS (guaranteed performance, GP) are present. We propose three mechanisms that influence both GP CAC and BE flow control and that are aimed at maximizing the overall revenue for all traffic classes. Moreover, we want to investigate the influence of the BE Pricing scheme on the GP traffic in order to establish a bound for the Internet Service Provider on the prices imposed to the GP users. r
Notion of cost and quality in telecommunication networks: an abstract approach
IEE Proceedings - Communications, 2005
With the advent of complex, integrated networks providing a variety of services, the notion of quality becomes an important factor in the design and usage of such networks. An abstract approach toward understanding the notion of cost in the context of providing services with differentiated levels of quality is presented. Several interesting results are presented that challenge the deeply entrenched notion of telescopically varying rates to 'larger' users of services. The authors also present a means whereby compensating levels of prices can be set for users of different classes.
Analysis of the Cost of Varying Levels of User Perceived Quality for Internet Access
2020
Quality of Service (QoS) metrics deal with network quantities, e.g. latency and loss, whereas Quality of Experience (QoE) provides a proxy metric for end-user experience. Many papers in the literature have proposed mappings between various QoS metrics and QoE. This paper goes further in providing analysis for QoE versus bandwidth cost. We measure QoE using the widely accepted Mean Opinion Score (MOS) rating. Our results naturally show that increasing bandwidth increases MOS. However, we extend this understanding by providing analysis for internet access scenarios, using TCP, and varying the number of TCP sources multiplexed together. For these target scenarios our analysis indicates what MOS increase you get by further expenditure on bandwidth. We anticipate that this will be of considerable value to commercial organizations responsible for bandwidth purchase and allocation.
Cost/Bene t Tradeo of Quality of Service Mechanisms in Integrated Services Networks
1999
Internet Protocol (IP) and Asynchronous Transfer Mode (ATM) are two switching technologies that are being used (or proposed) for large-scale integrated services networks. Integrated services networks are designed to support real time services, such as telephony as well as data services. Both technologies have the potential to radically change the economics and operations of telephone services. In addition, engineers have developed more e cient approaches than simple over-engineering to supporting the quality requirements of real time services (such as voice). In this paper, we will perform cost-bene t (tradeo ) study of guaranteeing the voice quality of packet telephony of various possible QoS-support approaches (IP/over-engineering, IP/prioritization, IP/RSVP, ATM-CBR, ATM-VBR). We will focus this application on integrated services networks. As with our previous work [19], we will use a simulation model to engineer a large scale network and will then analyze the switching and trunk...
Quality of Service in Communication Systems - Challenges and Approaches
1998
Several approaches have been proposed to empower communication systems with quality of service (QoS) capabilities. In general, their main objective is to define ways to coherently support end-to-end performance application needs, based on the establishment of and agreement on a set of concepts, policies and mechanisms. The first part of this paper has a tutorial nature, and analyses a representative part of the work that has been produced in this field by the computer communications and standards communities, namely the ISO/IEC QoS framework, the IETF Integrated Services model, the QoS Architecture, the ATM traffic and congestion control model and the Tenet model. The main purpose of this analysis is to capture the nature of the issues associated with the implementation of communication systems able to provide end-to-end QoS to their users. The main conclusion of this analysis is that an important challenge associated with the development of QoS-capable communication systems is the conception of an effective QoS monitoring function supported by a QoS metric that is able to provide significant information on the communication system performance. In the second part of this paper we propose a way to measure the quality of service provide by communication systems. The proposed metric was implemented, in order to test its basic concepts, to assess its feasibility and to measure the associated overhead. The results show that it is possible to measure the quality of service provided by communication systems with a reduced overhead and in a way that provides comparable QoS measurements, despite the diverse nature of the QoS characteristics associated with communication flows.
METHODOLOGY TO ASSESS THE USER’S PERCEPTION OF QUALITY OF SERVICE
The concept of assessing quality of service (QoS) provision is often represented in many different ways by various specialists groups including, computer scientists, network engineers, network administrators, Internet services providers, and university business managers. Users’ perception of telecommunications network infrastructure QoS provision is critical to successful business management operation of any organization. This thesis establishes the relationship between the user’s perception of QoS and the network QoS parameters. It identifies the causal relationship between these entities such as a user’s network usage behaviour and network parameters. By identifying what is causing what (i.e., is it a peak hour that degrades the network, is it a network setting that causes QoS degradation, etc) it contributes towards the improvement of Information Technology (IT) network management and monitoring policies. This thesis adopts the subjective research paradigm presenting an enhanced disconfirmation model in Chapter Six that merges a business viewpoint of QoS provision by conducting the IT survey questionnaire discussed in Chapter Five and a series of network measurements discussed in Chapter Four. This thesis utilizes Staffordshire University’s network communications infrastructure (SUNCI), as a testing platform to assess QoS provision in the light of the users’ perception, and compares it with the network management monitoring reports. Since the first implementation of SUNCI, the network management team have practised reactive network monitoring policies and did not have any guidelines on how to assess and manage QoS provision. This thesis offers a cost effective methodology to assess QoS provision with a minimum effect on SUNCI performance and functionality, as well as providing a literature review and theoretical background on QoS. The thesis assesses SUNCI performance, by examining its current network management and monitoring practices, and conducting real-time network measurements. In order to assess the users’ perception of QoS, this thesis presents the formulation of the IT survey questionnaire, data collection and critical evaluation of its results. The results suggest the level of users’ satisfaction of SUNCI QoS provision, guidelines and strategies for its future assessments and continuous improvements. The thesis lays ground for further research in promoting developments of engineering techniques in conjunction with a merger between the engineering and business perspectives on the QoS provision. The thesis methodology may be easily adapted to any telecommunications network infrastructure in the world.
… Journal Of Social …, 2010
Firms acquire network capacity from multiple suppliers which offer different Quality of Service (QoS) levels. After acquisition, day-to-day operations such as video conferencing, voice over IP and data applications are allocated between these acquired capacities by considering QoS requirement of each operation. In optimal allocation scheme, it is generally assumed each operation has to be placed into resource that provides equal or higher QoS Level. Conversely, in this study it is showed that former allocation strategy may lead to suboptimal solutions depending upon penalty cost policy to charge degradation in QoS requirements. We model a cost minimization problem which includes three cost components namely capacity acquisition, opportunity and penalty due to loss in QoS.