Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
Linear stability of TCP/RED and a scalable control
Computer Networks: The International Journal of Computer and Telecommunications Networking
The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications)
The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications)
Dynamics of hot-potato routing in IP networks
Proceedings of the joint international conference on Measurement and modeling of computer systems
TIE breaking: tunable interdomain egress selection
CoNEXT '05 Proceedings of the 2005 ACM conference on Emerging network experiment and technology
A clean slate 4D approach to network control and management
ACM SIGCOMM Computer Communication Review
Optimizing OSPF/IS-IS weights in a changing world
IEEE Journal on Selected Areas in Communications
Towards Robust Multi-Layer Traffic Engineering: Optimization of Congestion Control and Routing
IEEE Journal on Selected Areas in Communications
CONFab: component based optimization of WSN protocol stacks using deployment feedback
Proceedings of the 10th ACM international symposium on Mobility management and wireless access
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As networks grow in size and complexity, network management has become an increasingly challenging task. Many protocols have tunable parameters, and optimization is the process of setting these parameters to optimize an objective. In recent years, optimization techniques have been widely applied to network management problems, albeit with mixed success. Realizing that optimization problems in network management are induced by assumptions adopted in protocol design, we argue that instead of optimizing existing protocols, protocols should be designed with optimization in mind from the beginning. Using examples from our past research on traffic management, we present principles that guide how changes to existing protocols and architectures can lead to optimizable protocols. We also discuss the trade-offs between making network optimization easier and the overhead these changes impose.