Quality of service and flow level admission control in the internet
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Towards a new internet architecture
Problems of Elastic Traffic Admission Control in an HTTP Scenario
IWQoS '01 Proceedings of the 9th International Workshop on Quality of Service
Integrated Admission Control for Streaming and Elastic Traffic
COST 263 Proceedings of the Second International Workshop on Quality of Future Internet Services
Capacity Management for Internet Traffic
INTERWORKING '00 Proceedings of the 5th IFIP TC6 International Symposium on Next Generation Networks, Networks and Services for the Information Society
A survey on statistical bandwidth sharing
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: In memroy of Olga Casals
Optimal call admission control on a single link with a GPS scheduler
IEEE/ACM Transactions on Networking (TON)
Minimizing the overhead in implementing flow-aware networking
Proceedings of the 2005 ACM symposium on Architecture for networking and communications systems
A packet class-based scheme for providing throughput guarantees to TCP flows
IPOM'05 Proceedings of the 5th IEEE international conference on Operations and Management in IP-Based Networks
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We describe our approach to monitoring and managing the bandwidth of an Internet edge link with a view toward certain quality of service objectives for the services it carries. Such a link could be, for example, a campus's Internet access link or a small ISP's backbone access link. We use SNMP polls and packet snooping to obtain traffic statistics, and TCP admission control for bandwidth management. Our implementation is completely nonintrusive: we use Ethernet packet capture in the promiscuous mode for traffic analysis, and IP masquerading for blocking new TCP connections. This approach has been implemented by us in a software system for traffic management. We first justify our approach with a simple analytical model. We give an overview of our software implementation, and discuss some implementation issues. Then we provide measurement results that show the effectiveness of the techniques