Industrial Strength Distributed Explicit State Model Checking

Bingham, Brad; Bingham, Jesse; Paula, Flavio M. De; Erickson, John; Singh, Gaurav; Reitblatt, Mark

doi:10.1109/pdmc-hibi.2010.13

Cited by 34 publications

(23 citation statements)

References 22 publications

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“…Kuai 1 is implemented on top of PReach [2], a distributed enumerative model checker built on Murphi. We model switches, clients, and the controller as concurrent Murphi processes which communicate using message passing, with the queues modeled as multisets.…”

Section: Implementation and Evaluationmentioning

confidence: 99%

“…For the simple SSH example, the number of explored states is approximately 2 million without partial order reductions, but only 13 with reductions! To handle large state spaces, our model checker Kuai distributes the model checking over a number of nodes in a cluster, using the PReach distributed model checker [2] (based on Murphi [4]) as its back end. The large-scale distribution enables Kuai to model check large state spaces quickly.…”

Section: Introductionmentioning

confidence: 99%

“…Our work builds on top of distributed enumerative model checking and the PReach tool [2]. Our contribution is identifying domain specific state space reduction heuristics that enable us to explore large configurations.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Kuai: A model checker for software-defined networks

Majumdar

Tetali

Wang

2014

2014 Formal Methods in Computer-Aided Design (FMCAD)

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In software-defined networking (SDN), a software controller manages a distributed collection of switches by installing and uninstalling packet-forwarding rules in the switches. SDNs allow flexible implementations for expressive and sophisticated network management policies.We consider the problem of verifying that an SDN satisfies a given safety property. We describe Kuai, a distributed enumerative model checker for SDNs. Kuai takes as input a controller implementation written in Murphi, a description of the network topology (switches and connections), and a safety property, and performs a distributed enumerative reachability analysis on a cluster of machines. Kuai uses a set of partial order reduction techniques specific to the SDN domain that help reduce the state space dramatically. In addition, Kuai performs an automatic abstraction to handle unboundedly many packets traversing the network at a given time and unboundedly many control messages between the controller and the switches.We demonstrate the scalability and coverage of Kuai on standard SDN benchmarks. We show that our set of partial order reduction techniques significantly reduces the state spaces of these benchmarks by many orders of magnitude. In addition, Kuai exploits large-scale distribution to quickly search the reduced state space.

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Section: Implementation and Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Kuai: A model checker for software-defined networks

Majumdar

Tetali

Wang

2014

2014 Formal Methods in Computer-Aided Design (FMCAD)

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“…One can find early research results on distributed model checking [8], [9] and software synthesis [10]. However the number of the distributed SE methods is still not sufficient.…”

Section: Selected Software Engineering Problemsmentioning

confidence: 99%

Distributed systems for software engineering: Non-traditional approach

Giedrimas

2013

2013 7th International Conference on Application of Information and Communication Technologies

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Often software engineering is considered in distributed systems (Grid and cloud computing) context as a serving part. In this presentation opposite point of view is presented -to consider software engineering as a client, and to use distributed computing power to solve particular software engineering problems. It is argued that software engineering has several areas where the big amount of the computations is required: formal methods for software synthesis from the services, formal methods for the software verification, model checking etc. The conceptual framework for software synthesis using distributed computing is presented as an example of feasibility of proposed idea.

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“…This is a key preliminary step in the model checking or performance analysis of concurrent systems and is based around a breadthfirst search core. Over three decades, the gradual adoption of probabilistic data structures and algorithms [2][3][4][5][6][7], out-of-core storage [6,[8][9][10][11] and parallelism [6,7,[12][13][14][15][16] have driven supported capacities from ∼ 10 5 states to ∼ 10 10 states [6]. A fundamental problem in the field of bioinformatics which has seen a similar evolution over the last 20 years or so is that of assembling genomic sequences from a set of overlapping reads.…”

Section: Introductionmentioning

confidence: 99%

Self-adaptive containers: Building resource-efficient applications with low programmer overhead

Huang¹,

Knottenbelt²

2013

2013 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)

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Abstract-Despite advances in operating system resource management and the availability of standardised container libraries, developing scalable high-capacity applications remains a nontrivial endeavour. Naïve implementations of fundamental algorithms often rapidly exhaust system resources under heavy load. Resolving this via manual refactoring is usually possible but requires significant programmer effort, an effort which often has to be repeated in order to meet the resource constraints encountered in each different execution environment.This paper proposes a library of self-adaptive containers which provide a ready route to developing scalable applications with low programmer overhead. Given an execution environment, the library flexibly adapts its use of data structures in an effort to meet programmer-specified service level objectives. The library features a mechanism for tighter functionality specification than that provided by standard container libraries. This enables greater scope for efficiency optimisations, including the exploitation of probabilistic data structures and out-of-core storage.We have demonstrated the capabilities of the proposed library through a prototype implementation in C++. We show that when a Breadth First Search explicit state space exploration algorithm is executed, using the proposed library reduces insertion time by 68.5%, search time by 86.1%, and primary memory usage by 90.1% compared with the Standard Template Library.

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Industrial Strength Distributed Explicit State Model Checking

Abstract: Abstract

Cited by 34 publications

References 22 publications

Kuai: A model checker for software-defined networks

Kuai: A model checker for software-defined networks

Distributed systems for software engineering: Non-traditional approach

Self-adaptive containers: Building resource-efficient applications with low programmer overhead

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