activity
20102024
most citedThe Programmable Data Plane: Abstractions, Architectures, Algorithms, and Applications

112 citations · 667 across the 96 of their papers we have counts for

collaborators
Showing 2018 · cs.NIShow all

6 papers · 2 filters

cs.NI2018★ 2 cited

Compact Oblivious Routing

Harald Räcke, Stefan Schmid

Oblivious routing is an attractive paradigm for large distributed systems in which centralized control and frequent reconfigurations are infeasible or undesired (e.g., costly). Ove…

cs.NI2018★ 12 cited

Toward Demand-Aware Networking: A Theory for Self-Adjusting Networks

Chen Avin, Stefan Schmid

The physical topology is emerging as the next frontier in an ongoing effort to render communication networks more flexible. While first empirical results indicate that these flexib…

cs.NI2018★ 7 cited

Charting the Security Landscape of Programmable Dataplanes

Andrei-Alexandru Agape, Madalin Claudiu Danceanu, Rene Rydhof Hansen +1

Emerging programmable dataplanes will revamp communication networks, allowing programmers to reconfigure and tailor switches towards their need, in a protocol-independent manner. W…

cs.NI2018★ 4 cited

(FPT-)Approximation Algorithms for the Virtual Network Embedding Problem

Matthias Rost, Stefan Schmid

Many resource allocation problems in the cloud can be described as a basic Virtual Network Embedding Problem (VNEP): finding mappings of request graphs (describing the workloads) o…

cs.NI2018

Virtual Network Embedding Approximations: Leveraging Randomized Rounding

Matthias Rost, Stefan Schmid

The Virtual Network Embedding Problem (VNEP) captures the essence of many resource allocation problems of today's infrastructure providers, which offer their physical computation a…

cs.NI2018★ 21 cited

NP-Completeness and Inapproximability of the Virtual Network Embedding Problem and Its Variants

Matthias Rost, Stefan Schmid

Many resource allocation problems in the cloud can be described as a basic Virtual Network Embedding Problem (VNEP): the problem of finding a mapping of a request graph (describing…