Measurement Based Modeling of Quality of Service in the Internet: A Methodological Approach (original) (raw)
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INTEGRATED INTERNET MEASUREMENT MODEL
In an effort to measure the current network for suppliers and users of internet service, a paradigm shift is needed. This condition is stimulated by the increasing scale of internet users worldwide reaching 34.4% of the total world population according to Internet World Stats as of June 2012. Internet network measurement is directly impacting the end-user satisfactory level as the target factor for Quality of Experience (QoE). This research proposes an integrated internet measurement model which is involving the Quality of Service (QoS) parameters through active measurement system activated from passive measurement. The proposed measurement model is capable of giving feedbacks in form of network performance recommendation at any given time interval.
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2009 IFIP/IEEE International Symposium on Integrated Network Management, 2009
I hereby certify that this material, which I now submit for assessment on the programme of study leading to the award of Doctor of Philosophy is entirely my own work and has not been taken from the work of others save to the extent that such work has been cited and acknowledged within the text of my work.
Theories and models for Internet quality of service
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We survey recent advances in theories and models for Internet Quality of Service (QoS). We start with the theory of network calculus, which lays the foundation for support of deterministic performance guarantees in networks, and illustrate its applications to integrated services, differentiated services, and streaming media playback delays. We also present mechanisms and architecture for scalable support of guaranteed services in the Internet, based on the concept of a stateless core. Methods for scalable control operations are also briefly discussed. We then turn our attention to statistical performance guarantees, and describe several new probabilistic results that can be used for a statistical dimensioning of differentiated services. Lastly, we review recent proposals and results in supporting performance guarantees in a best effort context. These include models for elastic throughput guarantees based on TCP performance modeling, techniques for some quality of service differentiation without access control, and methods that allow an application to control the performance it receives, in the absence of network support.
Assessing the service quality of an Internet path through end-to-end measurement
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Understanding the service quality of Internet paths is of great importance for both the service provider and the user. Motivated by this and particularly the aim of extracting such information from a given dataset collected through end-to-end measurement, this paper presents a novel approach, called SCI (Service-quality Characterization of Internet-path). Specifically, SCI utilizes delay and loss measurements collected from vantage points at the two ends of an Internet path. It transforms collected probes into performance signals, namely aggregate delay, average delay and aggregate loss signals. On the aggregate delay and average delay signals, abrupt changes are detected using Principal Component Pursuit (PCP). The detected abrupt changes in aggregate delay and average delay, together with the loss information, are further mapped as different types of events causing degradations and failures in the service within the path. Predicated on the set of identified such service-level events, SCI characterizes the service quality of the measured Internet path using three metrics, namely availability, stability and fatigue. The proposed approach has been systematically evaluated on the dataset collected from a real operational environment. The results show that SCI achieves good accuracy in detecting abrupt changes in aggregate delay and average delay and identifying service-level events, boosting the feasibility of service quality assessment of an Internet path based exclusively on end-to-end measurement.
Measuring the internet quality of service in AQUILA
e & i Elektrotechnik und Informationstechnik, 2002
The development of such a complex system needs systematic tests to validate the architecture. Therefore application like Ioad generators are used to test the system under different Ioad conditions. For MBAC the admission control agents measure the effective bandwidth consumed by the accepted active lP flows to estimate the unused bandwidth at this access point.
QoS metric for packet networks
1998
abstract Several approaches have been proposed to empower communication systems with quality of service (QoS) capabilities. In general, their main goal is to coherently support the end-to-end performance needs of applications, based on the establishment of, and agreement on, a set of concepts, policies and mechanisms. Regardless of the used approach, an important challenge associated with quality of service provision is the development of an efficient and flexible way to monitor QoS.
QoS metric for packet networks
Internet Routing and Quality of Service, 1998
Several approaches have been proposed to empower communication systems with quality of service (QoS) capabilities. In general, their main goal is to coherently support the end-to-end performance needs of applications, based on the establishment of, and agreement on, a set of concepts, policies and mechanisms. Regardless of the used approach, an important challenge associated with quality of service provision is the development of an efficient and flexible way to monitor QoS. The existence of an effective metric to quantify the QoS offered to classes or flows of data, and to assess the performance of communication systems, would facilitate the implementation of a QoS monitor. Such a QoS metric should be able to produce comparable measures, independently of the nature and scope of the objects to quantify, that is, should turn possible uniform QoS measures. Nevertheless, the main difficulty related to the development of such metric steams exactly from the disparate nature and scope of the things to measure (typically, throughput, transit delay or loss). This paper discusses the above mentioned difficulties and proposes a QoS metric intended to support QoS measurements on packet switching networks. In our opinion, the proposed metric will facilitate the development of an effective and truly integrated QoS management system, which is fundamental to construct QoS-capable communication systems able to efficiently deal with the increasing variety of applications. This paper also presents the main challenges found during the first approach to the QoS metric implementation. The intention was to test the metric basic concepts, to assess its feasibility, and to measure its associated overhead. The results of these overhead tests are also presented.
A Conceptual Framework for QoE Measurement and Management in Networked Systems
International Journal of Computer Applications, 2015
Network management of real time applications demands a new approach for an effective service quality provision. The traditional approach of network management based on Quality of Service (QoS) parameters like jitter, throughput, delay and loss cannot give enough details of how user quality demands. Therefore network management approach must start from user's point of view to the network side. This kind of approach is called a user-centric network management approach which ensures that end users quality of experience (QoE) is maintained. Most of network management systems have manage and monitor network performance without knowing what users are experiencing. This paper propose a framework to measure and manage QoE in networked systems. It is clear that a network which can identify user's quality requirement and optimize itself will simply meet users' demands, and hence users' satisfaction which is define as QoE. Another key issue which has not been implemented by existing systems is the issue of compensation. If network systems at the time of requesting cannot offer resources enough to meet users' demands, then users should be compensated. In achieving those requirements, the proposed framework is designed with five key elements which are QoEpredictor, Network Management & Mediation System (NMMS), Resource Allocations &Management System (RAMS), Service Level Agreement Management System (SLAMS) and Billing System (BS).
Rigorous Statistical Analysis of Internet Loss Measurements
IEEE/ACM Transactions on Networking, 2000
Loss measurements are widely used in today's networks. There are existing standards and commercial products to perform these measurements. The missing element is a rigorous statistical methodology for their analysis. Indeed, most existing tools ignore the correlation between packet losses and severely underestimate the errors in the measured loss ratios.