The design philosophy of the DARPA internet protocols
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Nexus: Small Worlds and the Groundbreaking Theory of Networks
Nexus: Small Worlds and the Groundbreaking Theory of Networks
Linked
A first-principles approach to understanding the internet's router-level topology
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
More "normal" than normal: scaling distributions and complex systems
WSC '04 Proceedings of the 36th conference on Winter simulation
FAST TCP: motivation, architecture, algorithms, performance
IEEE/ACM Transactions on Networking (TON)
Network optimization and control
Foundations and Trends® in Networking
Patterns in Network Architecture: A Return to Fundamentals
Patterns in Network Architecture: A Return to Fundamentals
Principles of Model Checking (Representation and Mind Series)
Principles of Model Checking (Representation and Mind Series)
Feedback Systems: An Introduction for Scientists and Engineers
Feedback Systems: An Introduction for Scientists and Engineers
The Future of Systems, Man, and Cybernetics: Application Domains and Research Methods
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Natural Computing: an international journal
Is SDN the de-constraining constraint of the future internet?
ACM SIGCOMM Computer Communication Review
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There exists a widely recognized need to better understand and manage complex "systems of systems," ranging from biology, ecology, and medicine to network-centric technologies. This is motivating the search for universal laws of highly evolved systems and driving demand for new mathematics and methods that are consistent, integrative, and predictive. However, the theoretical frameworks available today are not merely fragmented but sometimes contradictory and incompatible. We argue that complexity arises in highly evolved biological and technological systems primarily to provide mechanisms to create robustness. However, this complexity itself can be a source of new fragility, leading to "robust yet fragile" tradeoffs in system design. We focus on the role of robustness and architecture in networked infrastructures, and we highlight recent advances in the theory of distributed control driven by network technologies. This view of complexity in highly organized technological and biological systems is fundamentally different from the dominant perspective in the mainstream sciences, which downplays function, constraints, and tradeoffs, and tends to minimize the role of organization and design.