Reliability Assessment Model of IMA Partition Software Using Stochastic Petri Nets

Wu, Zhijun; Ma, Hao

doi:10.1109/access.2021.3056747

Cited by 7 publications

(1 citation statement)

References 25 publications

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“…The stochastic approach based on SPN and Markov processes is widely used in various areas of the digital world. This approach is used in [20] to determine the failure rate of software components of a modular system and in [21] to evaluate the performance of complex industrial systems. In both cases, research shows better results than applying other methods.…”

Section: Related Workmentioning

confidence: 99%

Stochastic Approach to Investigate Protected Access to Information Resources in Combined E-Learning Environment

Romansky

2022

Mathematics

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The digital era expands the scope and application of information technologies, which also affects the forms of e-learning, motivating the development of combined systems with heterogeneous resources and services, including in the cloud. In this vein, the present article investigates the implementation of a set of procedures for maintaining regulated access to resources (identification, authentication, authorization, etc.) in a combined e-learning environment, with the main goal to confirm their effectiveness and correctness. The study was conducted through analytical modelling using stochastic tools from the theory of Petri nets and Markov chains with additional statistical analysis. The application of such a combined approach allows increased research efficiency and better adequacy of the obtained estimates.

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Section: Related Workmentioning

confidence: 99%

Stochastic Approach to Investigate Protected Access to Information Resources in Combined E-Learning Environment

Romansky

2022

Mathematics

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A hovering swarm particle swarm optimization algorithm based on node resource attributes for hardware/software partitioning

Deng,

Xiao,

Deng

et al. 2023

J Supercomput

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Hardware/software (HW/SW) partitioning is a vital aspect of HW/SW co-design. With the development of the design complexity in heterogeneous computing systems, existing partitioning algorithms have demonstrated inadequate performance in addressing problems relating to large-scale task nodes. This paper presents a novel HW/SW partitioning algorithm based on node resource attributes hovering swarm particle swarm optimization (HSPSO). First, the system task graph is initialized via the node resource urgency partitioning algorithm; then, the iterative solution produced by HSPSO algorithm yields the partitioning result. We present new initialization by combining node resource attribute information and introduce two improvements to the learning strategy of HSPSO algorithm. For the main swarm, a directed sample set and the addition of perturbation particles are designed to direct the main swarm’s particle search process. For the secondary swarm, a dynamic particle update equation is formulated. Iterative updates are performed based on previous rounds’ prior information using adaptive inertia weight. The experimental results illustrate that, in large-scale systems task graph partitioning with more than 400 nodes, when compared with mainstream partitioning algorithms, the proposed algorithm improves partitioning performance by no less than 10% for compute-intensive task graphs and no <5% for communication-intensive task graphs, with higher solution stability.

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Optimal saturated information load analysis for enhancing robustness in unmanned swarms system

Wu,

Jiang,

Tang

et al. 2024

Complex Intell. Syst.

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Saturated information load is defined as the information received by a unmanned aerial vehicle (UAV) node in a swarm network reaches the overload limit of its processing capability. When a UAV swarm performs a mission in an uncertain and adversarial complex environment, overloading of UAVs will lead to information diversion, which may cause other UAVs to experience overloading and diversion as well, affecting the transmission efficiency and robustness of the entire swarm network, which in turn affects the information sensing ability, execution ability, and coordination ability of the swarm in performing the mission. Therefore, this paper proposes a saturated information load-based UAV swarm network topology modelling method, which sets the saturated information load of the nodes in the network model in order to reasonably allocate network resources and optimise the network topology. In addition, through robustness experiments of complex networks and comparative analysis of different saturated information loads and three typical modelling methods, the saturated information load-based network structure modelling method has outstanding advantages and performance in terms of network connectivity, network communication efficiency, and destruction resistance.

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Reliability Assessment Model of IMA Partition Software Using Stochastic Petri Nets

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 7 publications

References 25 publications

Stochastic Approach to Investigate Protected Access to Information Resources in Combined E-Learning Environment

Stochastic Approach to Investigate Protected Access to Information Resources in Combined E-Learning Environment

A hovering swarm particle swarm optimization algorithm based on node resource attributes for hardware/software partitioning

Optimal saturated information load analysis for enhancing robustness in unmanned swarms system

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