Java-based Simulation Research Articles

Hybrid intelligent system for channel allocation and packet transmission in CR-IoT networks

The proliferation of interconnected devices is driving a surge in the demand for wireless spectrum. Meeting the need for wireless channel access for every device, while also ensuring consistent quality of service (QoS), poses significant challenges. This is particularly true for resource-limited heterogeneous devices within Internet of Things (IoT) networks. Cognitive radio (CR) technology addresses the shortcomings of traditional fixed channel allocation policies by enabling unlicensed users to opportunistically access unused spectrum belonging to licensed users. This facilitates timely and reliable transmission of mission-critical data packets. A cognitive radio-enabled IoT (CR-IoT) network is poised to better accommodate the growing demands of diverse applications and services within the smart city framework, spanning areas such as healthcare, agriculture, manufacturing, logistics, transportation, environment, public safety, and pharmaceuticals. To minimize switching delays and ensure energy and spectral efficiency, this study proposes a hybrid intelligent system for efficient channel allocation and packet transmission in CR-IoT networks. Leveraging Support Vector Machine (SVM) and Adaptive Neuro-Fuzzy Inference System (ANFIS), the system dynamically manages spectrum resources to minimize handoffs while upholding QoS. A Java-based simulation integrates system outputs with interference temperature data to accommodate service demands across 2G–4G spectrums. Evaluation reveals SVM’s 98.8% accuracy in detecting spectrum holes and ANFIS’s 90.4% accuracy in channel allocation. These results demonstrate significant potential for enhancing spectrum utilization in various IoT applications.

Optimization of the Decision-Making System for Advertising Strategies of Small Enterprises—Focusing on Company A

In the post-COVID-19 era, the founding rates of micro enterprises and startups will increase due to the low youth employment rates and increased retirement of baby boomers. Therefore, the portion of small enterprises among all enterprises is expected to grow. The rapid change in consumption patterns due to the COVID-19 pandemic has accelerated the entry of small enterprises into the online advertising market. However, advertising costs spent in running the businesses are taking up a large portion of their sales budgets due to intense competition and various advertising platforms. This study examines the decision-making system to optimize advertising expenditures considering the difference in advertising costs depending on various media types and keywords based on limited advertising budgets for stable management of small enterprises. To this end, this study modeled the advertising system of small enterprise A (Company A) with system dynamics and used the Java-based simulation software AnyLogic. Through simulation modeling, we conducted optimization analysis of two scenarios, maximum buyers and minimum advertising costs, in the post-COVID-19 era. Based on the results, this study forecast the conditions for optimization of decision-making in each advertising platform.

A feedback-based combinatorial fair economical double auction resource allocation model for cloud computing

Resource provisioning by cloud computing is one of the emerging fields for providing computing services anywhere at any time without physical barriers. It not only reduces the cost of set-up and maintenance of infrastructure at the on-site level but also helps in optimal resource utilization and reduction of e-waste generation to save the environment. It provides versatile resources to run different types of applications efficiently without worrying about delay or failure. Auction emerges as one of the most promising pricing schemes for the provisioning of resources in cloud computing. Providers and customers have different mind-set. The providers desire to earn more profit and lead the market, while customers prefer economical rates with high quality of service for the resources. In the virtual world, the providers’ genuineness is crucial, and the feedback from the customers plays a vital role that quantifies this genuineness.This paper proposes a Feedback-based Combinatorial Fair Economical Double Auction Resource Allocation Model (FCFEDARA) that investigates the genuineness of providers based on the offered prices for the required resources along with the feedback given by the customers. The proposed framework provides a common platform for the customers to access resources from different providers at optimal prices, as well as prioritizes genuine providers with good feedback over in-genuine providers with bad feedback. In the combinatorial double auction model, customers and providers submit their bundle bid along with a list of resources in the auction. The proposed model takes care of the truthfulness of the providers, penalizes market spoilers, and gives priority to those providers who have good customer feedback. Three different cases with their implications have analyzed, and evaluated based on the bid, configuration of resources, and customer feedback. Case 1 focuses on feedback given by the customers. In Case 2 and Case 3, providers’ genuineness, as well as their feedback from the customers, are key factors to determine winner providers. It is in contrast with earlier models where genuineness is based only on the bid and configuration of resources offered by providers. The proposed model was simulated on the CloudSim simulator, a Java-based simulator that provides a cloud computing environment, and results are evaluated and compared with two popular existing models: CDARA, its variant model, and the author’s previous approach (CFEDARA). The experimental results and the graphs have clearly shown the promotion of genuine providers with good feedback, fair allocation with economical pricing while maintaining the overall profit of the system. The participation ratio of customers and providers is maintained to sustain demand and supply in the virtual market.

Simulation tools for mobile ad hoc networks: a survey

Simulation tools are essential for validating any research idea before it is being implemented. This is very essential for all the researchers irrespective of the field of research. Simulators provide a way for analysing the design.There are many simulation tools available for the network researchers. Network Simulators are used to test the performance of existing or new algorithms and protocols.Some of the simulation tools in networking include OPNET (OPtimized Network Engineering Tool), NS-2 (Network Simulator version 2), OMNET++ (Objective Modular NETwork Testbed in C++), GloMoSim (Global Mobile Information System Simulator), QualNet, NetSim (Network Simulator), JiST/SWANS (Java in Simulation Time/ Scalable Wireless Network Simulator), J-Sim (Java-based simulation) and NS-3 (Network Simulator Version 3). Simulation tools may be open source or commercial. In this paper, both the open source and commercial simulators are discussed. This survey reveals that for simulating large networks, simulators like OPNET, GloMoSim, QualNet, NetSim, JiST/SWANs and NS-3 can be used. For small network simulation NS-2 and J-Sim can be preferred. Open source simulators are poor in documentation. Commercial simulators have good documentation. Based on the requirements of the research, a proper simulation tool can be selected.

Simulator for analysis cyber threats to RFID based system

The paper addresses the issues of attacks in cyberspace from the local perspective of computer network and IoT devices of RFID based office system. The rapid development in IT technology has constantly brought out revolutionary changes in the area of office services. The very promising technology for automatic identification is RFID that has changed the manual scenario of office tasks to computerized automated services. However, RFID based systems are vulnerable to various cyberattacks, from simple passive eavesdropping to well-known denial of service (DoS). One of the methods for the analysis of threats is computer modelling and simulation. M&S gives the possibility of quantitative and qualitative analysis as well as forecasting. As a part of the work, the original Java-based discrete simulation package has been developed. The simulation model and relevant software was implemented to simulate DoS attack on a protected server in restricted access administrative office. In contrast to most of existing simulation tools in the field of cyberspace, the simulation package has been designed to model and simulate heterogeneous devices which behaviours might be modified by programming Groovy/Python scripts.

A combinatorial double auction resource allocation model in cloud computing

Users and providers have different requirements and objectives in an investment market. Users will pay the lowest price possible with certain guaranteed levels of service at a minimum and providers would follow the strategy of achieving the highest return on their investment. Designing an optimal market-based resource allocation that considers the benefits for both the users and providers is a fundamental criterion of resource management in distributed systems, especially in cloud computing services. Most of the current market-based resource allocation models are biased in favor of the provider over the buyer in an unregulated trading environment. In this study, the problem was addressed by proposing a new market model called the Combinatorial Double Auction Resource Allocation (CDARA), which is applicable in cloud computing environments. The CDARA was prototyped and simulated using CloudSim, a Java-based simulator for simulating cloud computing environments, to evaluate its efficiency from an economic perspective. The results proved that the combinatorial double auction-based resource allocation model is an appropriate market-based model for cloud computing because it allows double-sided competition and bidding on an unrestricted number of items, which causes it to be economically efficient. Furthermore, the proposed model is incentive-compatible, which motivates the participants to reveal their true valuation during bidding.

Simulator of Dynamical Systems and PID Control based on Java Language

In this paper, a Java-based simulator of dynamical systems and PID control is presented. This simulator implements linear low-order process models, open-loop architecture and closed-loop architecture with a PID linear feedback controller. The main contribution is a Java application that can be used by the instructor / user in a blended learning environment to teach / learn the basic notions of dynamical systems behavior, some notions of systems stability, perform time domain analysis and frequency domain analysis, and also analyze the effect of PID control in the closed-loop system.

An Advanced Modeling & Simulation Tool for Investigating the Behavior of a Manufacturing System in the Hazelnuts Industry Sector

Abstract: This article proposes an advanced java-based simulation tool developed in order to support decision making in a manufacturing system operating in the hazelnuts industry sector. By providing the user with high flexibility in terms of manufacturing scenarios definition, the simulation tool can be used as an advanced decision-making tool to understand the dynamic interactions between multiple performance measures (that include both production lines and inventory system performances) and a set of user-defined factors (the latter defined by the production manager according to his/her needs in terms of manufacturing scenarios investigation). To understand how the simulation model can be used as decision-making tool and for testing the tool effectiveness, simulation results analyses and analytical meta-models are provided for different manufacturing scenarios.

Development of efficient three-dimensional welding simulation approach for residual stress estimation in different welded joints

Based on the available welding simulation approaches found in the literature, an alternative and simplified welding simulation approach is developed, called rapid dumping. It is a sequential thermomechanical approach, which makes use of the moving heat source in thermal analysis and the block-dumping approach in mechanical analysis for prediction of welding residual stresses in three dimensions. It is first developed for longitudinal stiffener joint and then validated by applying on a butt-welded, T-fillet, and multipass tube-flange joints. The temperature-dependent material properties were obtained using JMat Pro software, a java-based material property simulation software. The material properties were validated with experimentally determined material properties found in the literature. The predicted residual stresses were validated by X-ray diffraction measurements on the longitudinal stiffener fillet-welded joint. Using the rapid-dumping approach, the residual stresses obtained at the weld toe were in qualitatively good agreement with the measured residual stresses. The rapid-dumping approach showed to capture the effects of moving heat source and weld start/stop location. In addition, it has reduced the computational time significantly with a preserved accuracy of the estimated welding residual stresses.

Pulse shape analysis for γ-ray tracking (Part I): Pulse shape simulation with JASS

Next-generation \( \gamma\) -ray spectrometers based on highly segmented HPGe detectors are using the recent technique of \( \gamma\) -ray tracking to significantly improve on efficiency and Doppler correction capabilities. A precise reconstruction of the individual interaction locations within the active material is possible through the use of pulse shape analysis (PSA) which, in turn, demands an accurate knowledge of the detector response. We developed JASS, a Java-based simulation software package to generate pulse shapes for the AGATA detectors from physics constraints and basic material parameters. For verifying the simulation experimental data from a coincidence scan with known interaction locations was used. The achieved position resolution, in the order of a few millimeters, is within the requirements of the \( \gamma\) -ray tracking array.

Towards providing a new lightweight authentication and encryption scheme for MANET

Mobile Ad hoc Network (MANET) is a wireless technology for mobile nodes. This network is setup on fly without any infrastructure. The mobility nature of this network and the lack of infrastructure make it very challenging to be secured. In this paper, we introduce a formal model for Identity-based RSA (Id-RSA) scheme proven secure in the random oracle model. The proposed scheme relies on establishing fast cryptography operations to enhance the network performance. We compare our scheme with RSA-based Threshold Cryptography scheme (RSA-TC) and ECC-based Threshold Cryptography scheme (ECC-TC) in terms of speed and overheads caused by the security messages. We show that the threshold cryptography operations involved in RSA-TC and ECC-TC schemes cause a lot of overheads and delay. We implement these three schemes using the JAVA-based simulation framework (JIST/SWANS). The results show that our Id-RSA scheme is more suitable for MANET mobility environment that require lightweight and secure solutions.

Simulating the Development of the Superficial Patch System

Event Abstract Back to Event Simulating the Development of the Superficial Patch System Roman Bauer1*, Frédéric Zubler1 and Rodney Douglas1 1 UZH / ETHZ, Institute of Neuroinformatics, Switzerland Injections of neural tracers into various mammalian neocortical areas reveal a common patchy motif of clustered axonal projections (Rockland et al., 1982, Muir et al., 2010). We have used the Java-based simulation framework CX3D (Zubler & Douglas, 2009) to investigate how this patchy connectivity could arise in a single layer (II/III) of neocortex. CX3D allows the simulation of cellular growth in a physical 3D environment that respects forces and diffusion of cellularly secreted substances which can act as guidance cues for axonal growth. Individual neurons in the cortical layer II/III expressed the activator-inhibitor components of a Gierer-Meinhardt reaction-diffusion system (Gierer & Meinhardt, 1972). The steady-state reaction-diffusion pattern across the neurons is approximately hexagonal, and for appropriate parameter settings we could reproduce the surprising linear relationship observed between average patch diameter and inter-patch spacing (Binzegger et al., 2007, Muir et al., 2011). The growth cones at the tips of extending axons used the morphogens secreted by intra-patch neurons as guidance cues to direct their growth and invoke arborization, so yielding a general patchy arborization across layer II/III. We conclude that a simple Gierer-Meinhardt system installed in the neurons of the developing neocortex is sufficient to explain the experimentally observed patchy connectivity. Keywords: computational neuroscience Conference: 4th INCF Congress of Neuroinformatics, Boston, United States, 4 Sep - 6 Sep, 2011. Presentation Type: Poster Presentation Topic: Computational neuroscience Citation: Bauer R, Zubler F and Douglas R (2011). Simulating the Development of the Superficial Patch System. Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2011.08.00068 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 17 Oct 2011; Published Online: 19 Oct 2011. * Correspondence: Dr. Roman Bauer, UZH / ETHZ, Institute of Neuroinformatics, Zurich, Switzerland, bauerr@ini.phys.ethz.ch Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Roman Bauer Frédéric Zubler Rodney Douglas Google Roman Bauer Frédéric Zubler Rodney Douglas Google Scholar Roman Bauer Frédéric Zubler Rodney Douglas PubMed Roman Bauer Frédéric Zubler Rodney Douglas Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

An Interval-Based Metamodeling Approach to Simulate Material Handling in Semiconductor Wafer Fabs

In this paper, we propose a new efficient metamodeling approach as a simulation platform to estimate the performance of automated material handling systems (AMHS) in a much shorter execution time. Our new mechanism is based on imprecise probabilities, in which the simulation model parameters are represented as intervals to incorporate unknown dependency relationships as total uncertainties. The interval-based metamodel provides reasonably accurate and fast estimates of the performance measures of interest. The performance measures from the interval-based simulation are represented as intervals that enclose the traditional real-valued simulation estimates. Using the SEMATECH virtual fab as a test bed, the metamodel of the wafer fab AMHS is implemented in JSim, a java-based discrete-event simulation environment, and the results are compared to the detailed large-scale simulation model to investigate the validity of the proposed approach.

Optimizing BitTorrent-like peer-to-peer systems in the presence of network address translation devices

BitTorrent nowadays is one of the most important peer-to-peer (P2P) file-sharing applications on the Internet, and it has also inspired many other P2P applications such as live or on-demand video streaming services. On the other hand, Network Address Translation (NAT) has become pervasive in almost all networking scenarios, from residential Internet access to enterprise networks. Despite the effort of NAT traversal, it is still very likely that P2P applications cannot receive incoming connection requests properly if they are behind NAT. To quantify the performance impact of NAT on BitTorrent-like P2P systems, we have created and validated a detailed but tractable mathematical model. We have also proposed and briefly examined a simple but effective strategy to mitigate the negative impact on NAT peers. In this paper, we further extend our model to cover the proposed biased optimistic unchoke strategy, and optimize the system performance in terms of both average peer download time and system finish time. We also create a new, faster Java-based BitTorrent simulator, which is used to validate the extended model and show the optimality of the proposed strategy and its boundary conditions.

JAVOBS: A Flexible Simulator for OBS Network Architectures

Since the OBS paradigm has become a potential candidate to cope with the needs of the future all optical networks, it has really caught the attention from both academia and industry worldwide. In this direction, OBS networks have been investigated under many different scenarios comprising numerous architectures and strategies. This heterogeneous context encouraged the development of various simulation tools. In this paper we present our novel Java-based OBS network simulator called JAVOBS. We discuss its architecture, study its performance and provide some exemplary results that point out its remarkable flexibility. This flexibility should permit an easy integration of upcoming new network protocol designs but also support changing and evolving research goals.

A Java-based simulation environment for networks of simplified neuron models

A Java-based simulation environment for networks of simplified neuron models

Utility-driven solution for optimal resource allocation in computational grid

Optimal resource allocation is a complex undertaking due to large-scale heterogeneity present in computational grid. Traditionally, the decision based on certain cost functions has been used in allocating grid resource as a standard method that does not take resource access cost into consideration. In this paper, the utility function is presented as a promising method for grid resource allocation. To tackle the issue of heterogeneous demand, the user's preference is represented by utility function, which is driven by a user-centric scheme rather than system-centric parameters adopted by cost functions. The goal of each grid user is to maximize its own utility under different constraints. In order to allocate a common resource to multiple bidding users, the optimal solution is achieved by searching the equilibrium point of resource price such that the total demand for a resource exactly equals the total amount available to generate a set of optimal user bids. The experiments run on a Java-based discrete-event grid simulation toolkit called GridSim are made to study characteristics of the utility-driven resource allocation strategy under different constraints. Results show that utility optimization under budget constraint outperforms deadline constraint in terms of time spent, whereas deadline constraint outperforms budget constraint in terms of cost spent. The conclusion indicates that the utility-driven method is a very potential candidate for the optimal resource allocation in computational grid.

Simulation-based experimentation for designing reliable and efficient Web service orchestrations in supply chains

The world today is witnessing a growing interest in conducting supply chain business processes electronically using Web services orchestration technology. Fast adoption is often hampered by the need for experimentation to make efficient use of this technology in supply chain processes. In this paper, a simulation-based approach supporting experimentation with the efficiency and reliability of Web service orchestrations in supply chains prior to implementation are presented. The approach simulates the de facto business process specification standard for Web services, BPEL4WS, using Java-based simulation building blocks. A supply chain case study is used to demonstrate and evaluate the approach.

Computational Tools for Modeling Protein Networks

There are a large number of software packages available, both commercial and academic, to assist researchers in modeling protein networks. In this paper, we briefly review some of the more commonly used tools and focus on the current state of the Systems Biology Workbench (SBW), a modular framework that connects modeling and analysis applications, enabling tools to reuse each others capabilities. We describe how users and developers perceive SBW and then describe the currently available SBW modules. Keywords: Systems biology workbench, Java-based simulation and animation environment, Complex pathway simulator, Virtual cell, Systems biology markup language

Instructional Tools for Designing and Analysing a Very Simple CPU

The Very Simple CPU is an instructional aid developed to introduce students to the process of designing a microprocessor. It allows students to focus on design principles without becoming overwhelmed with complex design specifications. This paper describes the CPU and two tools used to teach students about CPU design, VHDL implementations and a Java-based simulator.