Practical Benefits of Aspect-Oriented Programming Paradigm in Discrete Event Simulation

Chibani, Meriem; Belattar, Brahim; Bourouis, Abdelhabib

doi:10.1155/2014/736359

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…Aspect oriented modeling works on the basis of separation of concerns for improving the quality of models. Common Aspect-oriented approaches are [31] 1) Xerox PARC Aspect-Oriented Programming: its model is based on join points and points-cuts. 2) Subject-Oriented Programming: it is based on the division of the system in subjects and then composition rules for those subjects.…”

Section: B Aspect-oriented Modelingmentioning

confidence: 99%

Hierarchical Modeling of Complex Internet of Things Systems Using Conceptual Modeling Approaches

2019

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Popularity of the Internet of things (IoT) is currently on the rise. Academia as well as industry is equally fascinated by this disruptive technology. The IoT research and implementation have succeeded securing their place in numerous domains including, but not limited to, business, transportation and logistics, health care, smart cities, and agriculture. Conceptual modeling is pivotal to the design and implementation of a system. Various modeling approaches have been used for a variety of the IoT applications and case studies. In this paper, we examine various innovative applications of the existing conceptual modeling approaches for the IoT. We analyze the use of these approaches against different concerns in isolation as well as in mutual combination for the IoT. We also define a set of terminologies that we frequently encounter in this manuscript and those likely to be used while adopting proposed modeling approaches for the IoT scenarios. This study also attempts to reconcile different modeling approaches toward a unified modeling system. For this purpose, we map various conceptual modeling approaches against different layers of functional model of the IoT reference architecture. There is also a scenario in the end of the paper which elaborates the use of different modeling approaches in hierarchy for a complex IoT system. INDEX TERMS Agent-based modeling, ambient-oriented modeling, aspect-oriented modeling, conceptual modeling approaches, contract-based modeling, fuzzy-logic modeling, the Internet of Things, network-based modeling, object-based modeling, ontology, service-oriented modeling.

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Section: B Aspect-oriented Modelingmentioning

confidence: 99%

Hierarchical Modeling of Complex Internet of Things Systems Using Conceptual Modeling Approaches

2019

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“…In such a case, the optimizer aims to optimize the system under study from a certain point of view, therefore it needs to evaluate the system from a particular view by simulating the certain aspects of the system. There are some works that already introduced aspect-oriented simulators [186][187][188][189] in the field of discrete event simulation. However, none of them are specifically designed for the purpose of manycore architecture simulation.…”

Section: Modularity Integrability and Aspect-oriented Simulationmentioning

confidence: 99%

Manycore simulation for peta-scale system design: Motivation, tools, challenges and prospects

Zarrin

Aguiar

Barraca

2017

Simulation Modelling Practice and Theory

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractThe architecture design of peta-scale computing systems is complex and presents lots of difficulties to designs, as current tools lack support for relevant features of future scenarios. Novel systems must be designed with great care and tools, such as manycore architecture simulators, must be adapted accordingly. However, current simulation tools are very slow, often specific-purposeoriented, suffer from various issues and are rarely able to simulate thousands of cores. The emergence of peta-scale systems and the upcoming manycore era brings nevertheless new challenges to computing systems and architectures, adding further difficulties and requirements on the development of the corresponding simulators. Furthermore, the design of architecture simulators for manycore systems involve methods and techniques from various interdisciplinary research areas, which in turn brings more challenges in different aspects. As system complexity grows, the growth of the simulation capacity is being outpaced (reaching the so called simulation wall). In this paper, we present the challenges for simulating future large scale manycore environments, and we investigate the adequacy of current modeling and simulation tools, methodologies and techniques. The aim of this work is to highlight how current approaches can best deal with the identified problems, smoothing the challenges of research in future peta-scale systems.

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“…The AOP does not introduce a completely new design process but just a new means to enhance design [4]. As procedural programming brought functional abstraction and object oriented programming gave birth to object abstraction, aspect-oriented programming introduces concern abstraction [4,5].…”

Section: Aspect Oriented Programmingmentioning

confidence: 99%

“…The first category is named as simulation execution and it consists of synchronization, event scheduling policies, optimization, and distribution [4]. The second one is about business layer.…”

Section: Aspects and Simulation Concernsmentioning

confidence: 99%

Aspect Oriented Programming Perspective in Software Agents and Simulation

Hocaoglu¹

2017

Int J Adv Tech

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MotivationThe motivations of the study are summarized under three categories. These are 1) to give a programming approach based on agent programming to aspect oriented programming, 2) to propose a solution for simulation time management modeled as an aspect and not coded into simulation kernel to make simulation execution algorithms plug- AbstractWhile object-oriented programming paradigm gives a vertical software design, aspect orientation enhances this vertically deep design by horizontal association. An agent based solution is offered for aspect-oriented programming paradigm in agent and simulation development. Agent driven simulation framework (AdSiF) is technological background of the study. AdSiF provides a declarative scripting agent programming language and it combines object oriented programming, logic programming, and agent based programming in state oriented programming paradigm as a surrounding paradigm. State-oriented programming paradigm is at the background of script and it allows programming by extended state charts. In this paper, the solution given by AdSiF for aspect-oriented programming paradigm that draws a solution background related with scattered codes, scattered requirements and tangled requirements is examined. It is explained how to distribute states and behaviors to satisfy scattered requirements, to behaviors and behavior lists, respectively and how behavior phase transitions are used to activate specific behaviors and behavior lists (a group of behaviors) to satisfy a set of requirements and to show different behavioral aspects of an agent and/ or a simulation entity. The solution also provides a solution by shifting modeling aspects conditionally in run time for conceptually different modeling requirements as well as tangled requirements. From this respect, the solution carries aspect oriented programming from design time to execution time and provides a dynamically manageable, flexible, loosely coupled and high coherent simulation and agent design. Using dynamic aspect management, parallel simulation synchronization algorithms are modeled as behaviors and each of them is grouped as an aspect and a rule based reasoning mechanism is developed to shift between algorithms depending on control criteria.

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Practical Benefits of Aspect-Oriented Programming Paradigm in Discrete Event Simulation

Cited by 4 publications

References 14 publications

Hierarchical Modeling of Complex Internet of Things Systems Using Conceptual Modeling Approaches

Hierarchical Modeling of Complex Internet of Things Systems Using Conceptual Modeling Approaches

Manycore simulation for peta-scale system design: Motivation, tools, challenges and prospects

Aspect Oriented Programming Perspective in Software Agents and Simulation

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