TCP/IP illustrated (vol. 1): the protocols
TCP/IP illustrated (vol. 1): the protocols
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Modeling TCP throughput: a simple model and its empirical validation
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
A model, analysis, and protocol framework for soft state-based communication
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
A stochastic model of TCP/IP with stationary random losses
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Discrete event fluid modeling of background TCP traffic
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Scalable fluid models and simulations for large-scale IP networks
ACM Transactions on Modeling and Computer Simulation (TOMACS)
On the Robustness of Soft State Protocols
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
Evaluating SIP server performance
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
A comparison of hard-state and soft-state signaling protocols
IEEE/ACM Transactions on Networking (TON)
Multimedia streaming via TCP: An analytic performance study
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A loss-event driven scalable fluid simulation method for high-speed networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
De-registration based S-CSCF load balancing in IMS core network
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
IP multimedia services: analysis of mobile IP and SIP interactions in 3G networks
IEEE Communications Magazine
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Recent collapses of SIP servers (e.g., Skype outage) indicate that the built-in SIP overload control mechanism cannot mitigate overload effectively. We introduce our analytical approach by investigating an overloaded tandem server scenario. Our analytical model: (1) considers a general case that both arrival rate and service rate for signaling messages are generic random processes; (2) makes a detailed analysis of departure processes; (3) allows us to run fluid-based simulations to observe and analyze SIP system performance under some specific scenarios. This approach is much faster than event-driven simulation which needs to track thousands of retransmission timers for outstanding messages and may crash a simulator due to limited computing resources. Our numerical results help us reach a counterintuitive conclusion: A SIP system with a large buffer size may continuously exhibit overload and long queuing delay after experiencing a short period of demand burst or a temporary server slowdown. Small buffer size, on the other hand, can mitigate overload quickly by rejecting a large portion of the requests from a demand burst, and then resume normal operation after a short period of time. Furthermore, numerical results demonstrate that overload at a downstream server may propagate or migrate to its upstream servers and therefore cause widespread server crashes in a real SIP network.