scispace - formally typeset
A

Andreas Wundsam

Researcher at Switch

Publications -  23
Citations -  1210

Andreas Wundsam is an academic researcher from Switch. The author has contributed to research in topics: Troubleshooting & The Internet. The author has an hindex of 12, co-authored 23 publications receiving 1180 citations. Previous affiliations of Andreas Wundsam include University of California, Berkeley & International Computer Science Institute.

Papers
More filters
Proceedings ArticleDOI

Logically centralized?: state distribution trade-offs in software defined networks

TL;DR: The state exchange points in a distributed SDN control plane are characterized and two key state distribution trade-offs are identified and simulated in the context of an existing SDN load balancer application.
Proceedings ArticleDOI

Network virtualization architecture: proposal and initial prototype

TL;DR: A network virtualization architecture is described as a technology for enabling Internet innovation and some of its components are evaluated based on experimental results from a prototype implementation to gain insight about its viability.
Proceedings Article

OFRewind: enabling record and replay troubleshooting for networks

TL;DR: The design of OFRewind is presented, which enables scalable, multi-granularity, temporally consistent recording and coordinated replay in a network, with fine-grained, dynamic, centrally orchestrated control over both record and replay.
Proceedings ArticleDOI

Leveraging SDN layering to systematically troubleshoot networks

TL;DR: This position paper advocates a more structured troubleshooting approach that leverages architectural layering in Software-Defined Networks (SDNs), and shows how recently-developed troubleshooting tools fit into a coherent workflow that detects mistranslations between layers to precisely localize sources of errant control logic.
Proceedings ArticleDOI

Troubleshooting blackbox SDN control software with minimal causal sequences

TL;DR: This paper presents a technique for automatically identifying a minimal sequence of inputs responsible for triggering a given bug, without making assumptions about the language or instrumentation of the software under test.