Regular and First Order List Functions

We define two classes of functions, called regular (respectively, first-order) list functions, which manipulate objects such as lists, lists of lists, pairs of lists, lists of pairs of lists, etc. The definition is in the style of regular expressions: the functions are constructed by starting with some basic functions (e.g. projections from pairs, or head and tail operations on lists) and putting them together using four combinators (most importantly, composition of functions). Our main results are that first-order list functions are exactly the same as first-order transductions, under a suitable encoding of the inputs; and the regular list functions are exactly the same as MSO-transductions

A Fast Compiler for NetKAT

High-level programming languages play a key role in a growing number of networking platforms, streamlining application development and enabling precise formal reasoning about network behavior. Unfortunately, current compilers only handle "local" programs that specify behavior in terms of hop-by-hop forwarding behavior, or modest extensions such as simple paths. To encode richer "global" behaviors, programmers must add extra state -- something that is tricky to get right and makes programs harder to write and maintain. Making matters worse, existing compilers can take tens of minutes to generate the forwarding state for the network, even on relatively small inputs. This forces programmers to waste time working around performance issues or even revert to using hardware-level APIs. This paper presents a new compiler for the NetKAT language that handles rich features including regular paths and virtual networks, and yet is several orders of magnitude faster than previous compilers. The compiler uses symbolic automata to calculate the extra state needed to implement "global" programs, and an intermediate representation based on binary decision diagrams to dramatically improve performance. We describe the design and implementation of three essential compiler stages: from virtual programs (which specify behavior in terms of virtual topologies) to global programs (which specify network-wide behavior in terms of physical topologies), from global programs to local programs (which specify behavior in terms of single-switch behavior), and from local programs to hardware-level forwarding tables. We present results from experiments on real-world benchmarks that quantify performance in terms of compilation time and forwarding table size

On a temporal logic of prefixes and infixes

A classic result by Stockmeyer [16] gives a non-elementary lower bound to the emptiness problem for star-free generalized regular expressions. This result is intimately connected to the satisfiability problem for interval temporal logic, notably for formulas that make use of the so-called chop operator. Such an operator can indeed be interpreted as the inverse of the concatenation operation on regular languages, and this correspondence enables reductions between non-emptiness of star-free generalized regular expressions and satisfiability of formulas of the interval temporal logic of the chop operator under the homogeneity assumption [5]. In this paper, we study the complexity of the satisfiability problem for a suitable weakening of the chop interval temporal logic, that can be equivalently viewed as a fragment of Halpern and Shoham interval logic featuring the operators B, for \u201cbegins\u201d, corresponding to the prefix relation on pairs of intervals, and D, for \u201cduring\u201d, corresponding to the infix relation. The homogeneous models of the considered logic naturally correspond to languages defined by restricted forms of regular expressions, that use union, complementation, and the inverses of the prefix and infix relations

Exact and approximate algorithms for computing a second Hamiltonian cycle.

A classic result by Stockmeyer [Stockmeyer, 1974] gives a non-elementary lower bound to the emptiness problem for star-free generalized regular expressions. This result is intimately connected to the satisfiability problem for interval temporal logic, notably for formulas that make use of the so-called chop operator. Such an operator can indeed be interpreted as the inverse of the concatenation operation on regular languages, and this correspondence enables reductions between non-emptiness of star-free generalized regular expressions and satisfiability of formulas of the interval temporal logic of the chop operator under the homogeneity assumption [Halpern et al., 1983]. In this paper, we study the complexity of the satisfiability problem for a suitable weakening of the chop interval temporal logic, that can be equivalently viewed as a fragment of Halpern and Shoham interval logic featuring the operators B, for "begins", corresponding to the prefix relation on pairs of intervals, and D, for "during", corresponding to the infix relation. The homogeneous models of the considered logic naturally correspond to languages defined by restricted forms of regular expressions, that use union, complementation, and the inverses of the prefix and infix relations

Unified theory for finite Markov chains

We provide a unified framework to compute the stationary distribution of any finite irreducible Markov chain or equivalently of any irreducible random walk on a finite semigroup $S$. Our methods use geometric finite semigroup theory via the Karnofsky-Rhodes and the McCammond expansions of finite semigroups with specified generators; this does not involve any linear algebra. The original Tsetlin library is obtained by applying the expansions to $P(n)$, the set of all subsets of an $n$ element set. Our set-up generalizes previous groundbreaking work involving left-regular bands (or $\mathscr{R}$-trivial bands) by Brown and Diaconis, extensions to $\mathscr{R}$-trivial semigroups by Ayyer, Steinberg, Thi\'ery and the second author, and important recent work by Chung and Graham. The Karnofsky-Rhodes expansion of the right Cayley graph of $S$ in terms of generators yields again a right Cayley graph. The McCammond expansion provides normal forms for elements in the expanded $S$. Using our previous results with Silva based on work by Berstel, Perrin, Reutenauer, we construct (infinite) semaphore codes on which we can define Markov chains. These semaphore codes can be lumped using geometric semigroup theory. Using normal forms and associated Kleene expressions, they yield formulas for the stationary distribution of the finite Markov chain of the expanded $S$ and the original $S$. Analyzing the normal forms also provides an estimate on the mixing time.Comment: 29 pages, 12 figures; v2: Section 3.2 added, references added, revision of introduction, title change; v3: typos fixed and clarifications adde

Verification of Automata with Storage Mechanisms

An important question in computer science is to ask, whether a given system conforms to a specification. Often this question is equivalent to ask whether a finite automaton with certain memory like a stack or queue can reach some given state. In this thesis we focus this reachability problem of automata having one or more lossy or reliable stacks or queues as their memory. Unfortunately, the reachability problem is undecidable or of high complexity in most of these cases. We circumvent this by several approximation methods. So we extend the exploration algorithm by Boigelot and Godefroid under-approximating the reachability problem of queue automata. We also study some automata having multiple stacks with a restricted behavior. These “asynchronous pushdown systems” have an efficiently decidable reachability problem. To show our results we first have to gain knowledge of several algebraic properties of the so-called transformation monoid of the studied storage mechanisms.An important research topic in computer science is the verification, i.e., the analysis of systems towards their correctness. This analysis consists of two parts: first we have to formalize the system and the desired properties. Afterwards we have to find algorithms to check whether the properties hold in the system. In many cases we can model the system as a finite automaton with a suitable storage mechanism, e.g., functional programs with recursive calls can be modeled as automata with a stack (or pushdown). Here, we consider automata with two variations of stacks and queues: 1. Partially lossy queues and stacks, which are allowed to forget some specified parts of their contents at any time. We are able to model unreliable systems with such memories. 2. Distributed queues and stacks, i.e., multiple such memories with a special synchronization in between. Often we can check the properties of our models by solving the reachability and recurrent reachability problems in our automata models. It is well-known that the decidability of these problems highly depends on the concrete data type of our automata’s memory. Both problems can be solved in polynomial time for automata with one stack. In contrast, these problems are undecidable if we attach a queue or at least two stacks to our automata. In some special cases we are still able to verify such systems. So, we will consider only special automata with multiple stacks - so-called asynchronous pushdown automata. These are multiple (local) automata each having one stack. Whenever these automata try to write something into at least one stack, we require a read action on these stacks right before these actions. We will see that the (recurrent) reachability problem is decidable for such asynchronous pushdown automata in polynomial time. We can also semi-decide the reachability problem of our queue automata by exploration of the configration space. To this end, we can join multiple consecutive transitions to so-called meta-transformations and simulate them at once. Here, we study meta-transformations alternating between writing words from a given regular language into the queues and reading words from another regular language from the queues. We will see that such metatransformations can be applied in polynomial time. To show this result we first study some algebraic properties of our stacks and queues.Ein wichtiges Forschungsthema in der Informatik ist die Verifikation, d.h., die Analyse von Systemen bezüglich ihrer Korrektheit. Diese Analyse erfolgt in zwei Schritten: Zuerst müssen wir das System und die gewünschten Eigenschaften formalisieren. Anschließend benötigen wir Algorithmen zum Testen, ob das System die Eigenschaften erfüllt. Oftmals können wir das Systemals endlichen Automaten mit geeignetem Speichermechanismus modellieren, z.B. rekursive Programme sind im Wesentlichen Automaten mit einem Stack. Hier betrachten wir Automaten mit zwei Varianten von Stacks und Queues: 1. Partiell vergessliche Stacks und Queues, welche bestimmte Teile ihrer Inhalte jederzeit vergessen können. Diese können für unzuverlässige Systeme verwendet werden. 2. Verteilte Stacks und Queues, d.h., mehrere Stacks und Queues mit vordefinierter Synchronisierung. Häufig lassen sich die Eigenschaften unserer Modelle mithilfe des (wiederholten) Erreichbarkeitsproblems in unseren Automaten lösen. Dabei ist bekannt, dass die Entscheidbarkeit dieser Probleme oftmals stark vom konkreten Datentyp des Speichers abhängt. Beide Probleme können für Automaten mit einem Stack in Polynomialzeit gelöst werden. Sie sind jedoch unentscheidbar, wenn wir Automaten mit einer Queue oder zwei Stacks betrachten. In bestimmten Spezialfällen sind aber dennoch in der Lage diese Systeme zu verifizieren. So können wir beispielsweise bestimmte Automaten mit mehreren Stacks betrachten - so genannte Asynchrone Kellerautomaten. Diese bestehen aus mehreren (lokalen) Automaten mit jeweils einem Stack. Wann immer diese Automaten etwas in mind. einen Stack schreiben, müssen sie unmittelbar zuvor von diesen Stacks etwas lesen. Das (wiederholte) Erreichbarkeitsproblem ist in asynchronen Kellerautomaten in Polynomialzeit entscheidbar. Wir können zudem das Erreichbarkeitsproblem von Queueautomaten durch Exploration des Konfigurationsraums semi-entscheiden. Hierzu können wir mehrere aufeinanderfolgende Transitionen zu so genannten Meta-Transformationen zusammenfassen und diese in einem Schritt simulieren. Hier betrachten wir Meta-Transformationen, die zwischen dem Lesen und Schreiben von Wörtern aus zwei gegebenen regulären Sprachen alternieren. Diese Meta-Transformationen können in Polynomialzeit ausgeführt werden. Für dieses Ergebnis müssen wir jedoch zunächst verschiedene algebraische Eigenschaften der Queues betrachten

A formal support to business and architectural design for service-oriented systems

Architectural Design Rewriting (ADR) is an approach for the design of software architectures developed within Sensoria by reconciling graph transformation and process calculi techniques. The key feature that makes ADR a suitable and expressive framework is the algebraic handling of structured graphs, which improves the support for specification, analysis and verification of service-oriented architectures and applications. We show how ADR is used as a formal ground for high-level modelling languages and approaches developed within Sensoria