-application resource quotas on the fly in this context poses a complex resource allocation and control problem spanning many levels including the CPU, memory and storage resources within each physical server and/or across the server farm. This problem is further complicated by the need to provide end-to-end Quality

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This document is the result of activity AC1.1 and is a key deliverable of the MESCAL project. It comprises three principal components. The first component is the business model, which defines the principal actors in QoS-based service delivery across multiple domains. The second component is the functional architecture, which identifies the key functional blocks required to support inter-domain QoS delivery. The third component is a set of three solution options that provide QoS-based services, each of which is in accordance with the functional architecture.

Abstract-This paper considers Traffic Engineering (TE) for the provision of end-to-end quality of service (QoS) guarantees across multiple autonomous systems (ASes) in the Internet. We review an inter-AS QoS management model, and consider algorithms for offline inter-AS and intra-AS TE. We

Assuring end-to-end quality-of-service (QoS) in distributed real-time and embedded (DRE) systems is hard due to the heterogeneity and scale of communication networks, transient behavior, and the lack of mechanisms that holisti-cally schedule different resources end-to-end. This paper makes two

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Many distributed multimedia applications exhibit flexibility to fluctuations in the network conditions. By trading off temporal and spatial quality to available bandwidth, or manipulating the playout time of continuous media in response to variations in delay, multimedia flows can keep

Abstract:- Providing End-to-End QoS in 4G heterogeneous networks is a challenge due to the involvement of several components like network reservation, service level agreements, charging, contract management and security constraints. A flexible yet efficient protocol framework is required, which can

This paper is focussed on Quality of Service (QoS) analysis of applications in inter-domain environment using different monitoring tools in “policy ” based manner to study the impact of specific performance factors such as inter-domain routing and topology on the end-to-end QoS. Integration

Abstract. This work focus on quality of service (QoS) estimation based on end-to-end active measurements. The main problem is to continuously monitor the QoS that will receive a multimedia application in a path between two agents on the Internet. We want to estimate the QoS without sending ‘heavy