Control Aspects in Multiagent Systems

Cicirelli, Franco; Nigro, Libero

doi:10.1007/978-3-319-23742-8_2

Cited by 4 publications

(6 citation statements)

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“…A recent work from the same authors brought an example of a call center and a predefined set of tasks to be treated by the system. 28 Although this work is closely related to the approach we propose here, their work does not provide a middleware solution for runtime scheduling but instead focuses on modeling and analysis simulation. Additionally, our approach presents a model for generic agents which was evaluated with ten scheduling algorithms.…”

Section: Related Workmentioning

confidence: 99%

RT‐JADE: A preemptive real‐time scheduling middleware for mobile agents

Filgueiras

Rodrigues

Rech

et al. 2018

Concurrency and Computation

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Summary Mobile agents are examples of distributed systems which may dispute for the same resources on their hosts. Treating such concurrency adequately is essential, particularly in real‐time applications. Due to intrinsic time restrictions, mobile agents in real‐time environments are only considered successful if they fulfill their mission by respecting their deadlines. Scheduling algorithms with different policies can be applied in these scenarios. However, the efficiency of these algorithms may deviate according to the missions and deadlines of the mobile agents. Also, these algorithms can be preemptive, or calculate the order of executions without interrupting an ongoing task. In this paper, we propose a middleware extension to the JADE platform that brings real‐time scheduling support with preemption to mobile agents. The proposed solution uses best effort scheduling policy in the context of soft real‐time applications. We evaluate the performance of the scheduling algorithms, with and without preemption, and the impact of the selected algorithms on mission fulfillment. The results of the proposed middleware showed a great improvement on mission accomplishment when compared to the FIFO algorithm provided by the JADE platform.

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Section: Related Workmentioning

confidence: 99%

RT‐JADE: A preemptive real‐time scheduling middleware for mobile agents

Filgueiras

Rodrigues

Rech

et al. 2018

Concurrency and Computation

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“…One of the challenging goals in this work is to support model continuity whose aim is to favour the use of a same model from property analysis (possibly based on parallel/distributed simulation) to real‐time execution. A particular implementation of the approach, devoted to the schedulability analysis of real‐time systems, is described in .…”

Section: Introductionmentioning

confidence: 99%

“…A particular implementation of the approach, devoted to the schedulability analysis of real-time systems, is described in [4].The proposed control framework purposely depends on a minimal computational actor model [5][6][7]. The goal is to support modelling and execution of a multi-agent system whose evolution is transparently governed by a pluggable control structure.…”

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confidence: 99%

“…A particular implementation of the approach, devoted to the schedulability analysis of real-time systems, is described in [4]. CICIRELLI AND L. NIGRO sidering the availability of dedicated processing units.…”

mentioning

confidence: 99%

“…One of the challenging goals in this work is to support model continuity [3] whose aim is to favour the use of a same model from property analysis (possibly based on parallel/distributed simulation) to real-time execution. A particular implementation of the approach, devoted to the schedulability analysis of real-time systems, is described in [4].The proposed control framework purposely depends on a minimal computational actor model [5][6][7]. The actor model actually used in this paper is novel in that it owns a notion of actions, which are a key for transparently switching from simulation to real execution.…”

mentioning

confidence: 99%

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Control centric framework for model continuity in time‐dependent multi‐agent systems

Cicirelli

Nigro

2016

Concurrency and Computation

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This work centres on a control framework for general multi-agent systems, which separates the design of agents behaviours (the application layer) from crosscutting control concerns (the control layer) regulating message exchange and processing. The goal is to support modelling and execution of a multi-agent system whose evolution is transparently governed by a pluggable control structure. A library of different control structures, including pure-concurrent and time-sensitive (real-time and simulation) strategies, was developed. The paper describes the developed control framework and focusses on the achievement of control strategies compliant with agent mobility and resource availability. The control design rests on a minimal actor computational model extended with actions, which are independent computational tasks able to execute in parallel. The approach enables model continuity, that is, the same model is used from analysis by simulation to implementation and real-time execution. The framework is prototyped on top of the JADE agent infrastructure. Usability and effectiveness of the resultant approach are demonstrated by a case study based on a complex closed queue network of services. On-going and future work is finally pointed out in the conclusions. 3334F. CICIRELLI AND L. NIGRO sidering the availability of dedicated processing units. Flexibility of control design is also advocated to deal with problems of mechanism design [2] where a suitable control strategy is required to regulate/coordinate the decision process in a group of agents during the allocation of scarce resources. This paper proposes an original and flexible control framework for distributed multi-agent systems. The approach makes it possible to transparently aggregate a given control module extracted from a library to a multi-agent system. One of the challenging goals in this work is to support model continuity [3] whose aim is to favour the use of a same model from property analysis (possibly based on parallel/distributed simulation) to real-time execution. A particular implementation of the approach, devoted to the schedulability analysis of real-time systems, is described in [4].The proposed control framework purposely depends on a minimal computational actor model [5][6][7]. The actor model actually used in this paper is novel in that it owns a notion of actions, which are a key for transparently switching from simulation to real execution. Actions naturally map on to processing units (PUs) managed by a given control strategy. PUs model computational resources of the external environment of the application. Both the availability and the behaviour of processing units can affect, in an orthogonal way, the execution of the application. In particular, the evolution of a realized multi-agent system constitutes an emerging property of the interaction between the application and its environment, mediated by the provided control layer.For demonstration purpose, the framework is prototyped in JADE [8, 9]. JADE was chosen because it is a representati...

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