UC Berkeley scholars Erik Wilde and Dilan Mahendran are shaping the next generation of internet architecture through research that balances protocol design with real world deployment. Their joint work examines how evolving standards, measurement, and systems thinking improve reliability, performance, and resilience at scale.
This article introduces their contributions, methodological approaches, and practical impact on campus, industry, and broader internet ecosystems. Readers gain a clear, structured view of how theory, experimentation, and stakeholder engagement intersect in modern networked systems.
| Researcher | Primary Focus | Key Methodologies | Notable Collaborations |
|---|---|---|---|
| Erik Wilde | Internet architecture, protocols, and measurement | Empirical measurement, standards analysis, testbed experimentation | IETF, research labs, and industry partners |
| Dilan Mahendran | Networked systems, edge computing, and reliability | Large scale experiments, systems design, fault and failure analysis | UC Berkeley groups, cloud providers, open source communities |
Internet Architecture Design Principles at UC Berkeley
At UC Berkeley, internet architecture research emphasizes rigorous protocol analysis, open measurement, and iterative deployment. Erik Wilde and Dilan Mahendran anchor their work in design principles that prioritize modularity, extensibility, and backward compatibility. Their projects often trace how architectural decisions propagate across layers, affecting performance, security, and manageability in complex environments.
Protocol Selection and Evolution
They evaluate protocols through trace-driven studies, simulation, and live experiments, assessing tradeoffs between latency, fairness, and robustness. This evidence based approach informs recommendations for deprecating legacy components while enabling safe experimentation with next generation mechanisms.
Measurement Driven Evaluation and Testbeds
Measurement is central to how Wilde and Mahendran assess internet behavior in real conditions. They design testbeds that combine instrumentation, programmable data planes, and telemetry pipelines to capture fine grained performance and failure signals across diverse topologies.
Testbed Design and Instrumentation
By instrumenting edge, access, and core segments, their testbeds expose interactions among congestion control, routing, and application layer protocols. The resulting datasets support longitudinal studies and reproducible failure analysis, bridging the gap between laboratory prototypes and production networks.
Systems Thinking for Resilient Deployments
Resilient internet architecture requires attention to operational realities, from configuration management to incident response. Dilan Mahendran focuses on systems thinking, exploring how components interact under stress, how failures cascade, and how automation can reduce human error without obscuring root causes.
Operational Resilience Techniques
Their work integrates chaos engineering, controlled fault injection, and feedback control to validate recovery mechanisms. By modeling dependencies and quantifying risk, they help organizations design architectures that remain robust under variable load and partial failures.
Collaborative Research and Industry Impact
Collaboration with IETF working groups, cloud providers, and open source projects accelerates the translation of research insights into standards and tools. Erik Wilde and Dilan Mahendran engage industry partners to validate designs at scale, ensuring that academic prototypes address practical constraints such as cost, manageability, and regulatory compliance.
Open Source and Reproducibility
They contribute instrumentation, test frameworks, and reference implementations to the community, enabling independent verification of results. This open ethos strengthens peer review, supports rapid iteration, and lowers barriers for other researchers to build on prior work.
Future Directions and Recommendations
As internet workloads grow more diverse and critical, architecture must evolve toward greater automation, observability, and adaptability.
- Adopt measurement first approaches to validate architectural assumptions in production like Wilde and Mahendran
- Design protocols and systems with modular interfaces that allow incremental upgrades without disruptive changes
- Invest in testbed infrastructure that combines programmable data planes with rich telemetry pipelines
- Engage cross functional stakeholders early to align research outcomes with operational, security, and compliance requirements
FAQ
Reader questions
What architectural problems do Erik Wilde and Dilan Mahendran address at UC Berkeley?
They tackle protocol interaction, edge reliability, measurement fidelity, and deployment safety, using a combination of formal analysis, large scale experiments, and iterative design to reduce complexity and improve robustness.
How does their measurement work improve internet reliability?
By collecting fine grained telemetry across diverse paths and conditions, they identify failure modes and performance anomalies that inform protocol choices, configuration best practices, and operational safeguards.
What role do testbeds play in their research methodology?
Testbeds provide controlled yet realistic environments where they can instrument networks deeply, inject faults safely, and validate architectural assumptions before broader deployment.
How do they engage with industry and standards bodies?
Through partnerships with IETF, cloud operators, and open source projects, they align academic insights with operational needs, turning prototypes into deployable standards, tools, and configurations.