ProbNv is a new framework for probabilistic network control plane verification that strikes a balance between generality and scalability. ProbNv is general enough to encode a wide range of features from the most common protocols (eBGP and OSPF) and yet scalable enough to handle challenging properties, such as probabilistic all-failures analysis of medium-sized networks with 100-200 devices. When there are a small, bounded number of failures, networks with up to 500 devices may be verified in seconds. ProbNV operates by translating raw CISCO configurations into a probabilistic and functional programming language designed for network verification. This language comes equipped with a novel type system that characterizes the sort of representat...
This paper develops a new language for programming software-defined networks based on a probabilisti...
In this paper we show how symbolic probabilistic analysis techniques for finite state systems can be...
The long line of research in probabilistic model checking has resulted in efficient symbolic verific...
ProbNv is a new framework for probabilistic network control plane verification that strikes a balanc...
ProbNV is a new framework for probabilistic network control plane verification that strikes a balanc...
Network technology enables smarter and more adaptive computing devices in the context of vehicles, c...
Network technology enables smarter and more adaptive computing devices in the context of vehicles, c...
316 pagesAs computer networks have grown into some of the most complex and critical computing system...
This paper describes formal probabilistic models of flooding and gossiping protocols, and explores t...
This paper presents McNetKAT, a scalable tool for verifying probabilistic network programs. McNetKA...
Abstract. This paper describes formal probabilistic models of flooding and gossiping protocols, and ...
Probability features increasingly often in software and hardware systems: it is used in distributed ...
Technical advances in network communication systems (e.g. radio access networks) combined with evolv...
This paper presents McNetKAT, a scalable tool for verifying probabilistic network programs. McNetKA...
In this thesis, we present efficient implementation techniques for probabilistic model checking, a m...
This paper develops a new language for programming software-defined networks based on a probabilisti...
In this paper we show how symbolic probabilistic analysis techniques for finite state systems can be...
The long line of research in probabilistic model checking has resulted in efficient symbolic verific...
ProbNv is a new framework for probabilistic network control plane verification that strikes a balanc...
ProbNV is a new framework for probabilistic network control plane verification that strikes a balanc...
Network technology enables smarter and more adaptive computing devices in the context of vehicles, c...
Network technology enables smarter and more adaptive computing devices in the context of vehicles, c...
316 pagesAs computer networks have grown into some of the most complex and critical computing system...
This paper describes formal probabilistic models of flooding and gossiping protocols, and explores t...
This paper presents McNetKAT, a scalable tool for verifying probabilistic network programs. McNetKA...
Abstract. This paper describes formal probabilistic models of flooding and gossiping protocols, and ...
Probability features increasingly often in software and hardware systems: it is used in distributed ...
Technical advances in network communication systems (e.g. radio access networks) combined with evolv...
This paper presents McNetKAT, a scalable tool for verifying probabilistic network programs. McNetKA...
In this thesis, we present efficient implementation techniques for probabilistic model checking, a m...
This paper develops a new language for programming software-defined networks based on a probabilisti...
In this paper we show how symbolic probabilistic analysis techniques for finite state systems can be...
The long line of research in probabilistic model checking has resulted in efficient symbolic verific...