On the self-similar nature of Ethernet traffic
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Start-time fair queueing: a scheduling algorithm for integrated services packet switching networks
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
A differentiated services implementation for high-performance TCP flows
Computer Networks: The International Journal of Computer and Telecommunications Networking - Pioneering tomorrow's Internet Selected papers from the TERENA Networking Conference 2000 22–25 May 2000, Lisbon, Portugal
Active Networking Support for the Grid
IWAN '01 Proceedings of the IFIP-TC6 Third International Working Conference on Active Networks
Towards efficient resource on-demand in Grid Computing
ACM SIGOPS Operating Systems Review
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
A survey on statistical bandwidth sharing
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: In memroy of Olga Casals
Evaluating the number of active flows in a scheduler realizing fair statistical bandwidth sharing
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
International Journal of High Performance Computing Applications
Design and implementation of a grid network-aware resource broker
PDCN'06 Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks
Virtual workspaces: Achieving quality of service and quality of life in the Grid
Scientific Programming - Dynamic Grids and Worldwide Computing
Performance comparison of Flow Aware Networking (FAN) architectures under GridFTP traffic
Proceedings of the 2008 ACM symposium on Applied computing
Experiments with equivalent differentiated services in a grid context
Future Generation Computer Systems - Special issue: High-speed networks and services for data-intensive grids: The DataTAG project
Performance evaluation of the flow-based router using intel IXP2800 network processors
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
ADMISSION CONTROL IN MULTI-SERVICE IP NETWORKS: A TUTORIAL
IEEE Communications Surveys & Tutorials
End-to-end quality of service for high-end applications
Computer Communications
Advanced QoS provisioning in IP networks: the European premium IP projects
IEEE Communications Magazine
Evaluation of Flow-Aware Networking (FAN) architectures under GridFTP traffic
Future Generation Computer Systems
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Computing and networking resources virtualization is the main objective of Grid services. Such a concept is already used in the context of Web-services on the Internet. In the next few years, a large number of applications belonging to various domains (biotechnology, banking, finance, car and aircraft manufacturing, nuclear energy etc.) will also benefit from Grid services. Admission control is a key functionality for Quality of Service (QoS) provision in IP networks, and more specifically for Grid services provision. Service differentiation (DS) is a widely deployed technique on the Internet. It operates at the packet level on a best-effort mode. Flow-Aware Networking (FAN) that operates at the scale of the IP flows relies on implicit flow differentiation through priority fair queuing (PFQ). It may be seen as an alternative to DS. A Grid session may be seen as a succession of parallel TCP/IP flows characterized by data transfers with much larger volume than usual TCP/IP flows. In this paper, we propose an extension of FAN for the Grid environment called Grid over FAN (GoFAN). We compare, by means of computer simulations, the efficiency of Grid over DS (GoDS) and GoFAN. Two variants of GoFAN architectures based on different fair queuing algorithms are considered. As a first step, we provide two short surveys on QoS for Grid environment and on QoS in IP networks respectively.