SIGCOMM '92 Conference proceedings on Communications architectures & protocols
Providing guaranteed services without per flow management
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Endpoint admission control: architectural issues and performance
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
IEEE Communications Magazine
IDMS/PROMS 2002 Proceedings of the Joint International Workshops on Interactive Distributed Multimedia Systems and Protocols for Multimedia Systems: Protocols and Systems for Interactive Distributed Multimedia
End-to-end delay bounds for traffic aggregates under guaranteed-rate scheduling algorithms
IEEE/ACM Transactions on Networking (TON)
Network provisioning using multimedia aggregates
Advances in Multimedia
Resilient network admission control
Computer Networks: The International Journal of Computer and Telecommunications Networking
CSPF routed and traffic-driven construction of LSP hierarchies
Art-QoS'03 Proceedings of the 2003 international conference on Architectures for quality of service in the internet
| Hi-index | 0.00 |
The IETF's Integrated Services (IntServ) architecture together with reservation aggregation provide a mechanism to support the quality-of-service demands of real-time flows in a scalable way, i.e., without requiring that each router be signaled with the arrival or departure of each new flow for which it will forward data. However, reserving resources in "bulk" implies that the reservation will not precisely match the true demand. Consequently, if the flows' demanded bandwidth varies rapidly and dramatically, aggregation can incur significant performance penalties of under-utilization and unnecessarily rejected flows. On the other hand, if demand varies moderately and at slower time scales, aggregation can provide an accurate and scalable approximation to IntServ. In this paper, we develop a simple analytical model and perform extensive trace-driven simulations to explore the efficacy of aggregation under a broad class of factors. Example findings include (1) a simple single-time-scale model with random noise can capture the essential behavior of surprisingly complex scenarios; (2) with a twoorder-of-magnitude separation between the dominant time scale of demand and the time scale of signaling and moderate levels of secondary noise, aggregation achieves performance that closely approximates that of IntServ.