Quality of Service in Communication Systems - Challenges and Approaches (original) (raw)

Measuring Quality of Service in Packet Networks

1999

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

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 unified metric for quality of service quantification

2009

Internet service providers usually express the quality of network services through a set of values determined according to several network performance parameters periodically collected or measured. However, for common end-users, these values do not give an overall idea of the quality of the network services as they stand for different units and evaluate different perspectives of each service quality. In this context, this paper proposes the definition of a serviceoriented unified metric which quantifies a global Quality of Service (QoS) indication by processing standard QoS parameters through a fuzzy controller. The proposed methodology, based on fuzzy logic and tested on Xfuzzy 3.0 platform, allows to close the gap between a high-level QoS perspective and the effective QoS measurements at lower protocolar levels. The definition of a single per-service QoS metric can be useful to simplify control tasks such as QoS routing, SLA negotiation and auditing.

Network quality of service : know it all

2009

Click here if your download doesn"t start automatically Network Quality of Service Know it All Network Quality of Service Know it All The term Quality of Service, abbreviated QoS, refers to network resource control mechanisms. Quality of Service is the ability to provide different priority to different applications, users, or data flows, or to guarantee a certain level of performance to a data flow. This book brings all of the elements of network quality of service (QoS) together in a single volume, saving the reader the time and expense of making multiple purchases. It introduces network QoS, explains the basics, describes the protocols, and discusses advanced topics, by the best and brightest experts in the field. It is a quick and efficient way to bring valuable content together from leading experts in the field while creating a one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.

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).

End-to-end internet quality of service (QoS): An overview of issues, architectures and frameworks

Proceedings of ICIT, 2000

With the advent of high-end multimedia applications, the need to provide better Quality of Service (QoS) from the Internet has gained significant importance. Internet of the future will be characterized by diverse traffic sources -heavily overburdened by real time traffic right from voice to video and increasingly overwhelmed by the traffic generated through millions of e-commerce transactions. Therefore, QoS requirements of all such applications will introduce several new consequences along the way in which data is transmitted over the Internet. In this paper, we will attempt to evaluate all the issues that govern end-to-end Internet QoS. Highlighting all-important factors will then derive a unified approach for proper QoS management in the Internet. The paper also delves into the existing problems and describes means to maximize solutions towards better QoS from the Internet.

The QoSxlabel: a quality of service cross-layer label

INDIN '05. 2005 3rd IEEE International Conference on Industrial Informatics, 2005., 2005

In the context of multimedia and real-time communication, this paper introduces a standardized way for the packet QoS properties to be represented, in order to allow any of the underlying communication mechanisms to access and use these QoS properties. The QoSxLabel (Quality of Service Cross-layer Label) proposes a common syntax expressing the QoS properties. This label is not necessarily added as a new field in the packets but deduced from existing fields according to a well-defined set of rules. The use of the QoSxLabel by some of the mechanisms situated at different levels of the communication architecture will allow a fine optimization of the communication services regarding the real application data requirements.