SoftDEL BACnet Over IP Simulation System (BOSS)

BACnet is a standard data communication protocol for building automation and control systems. BACnet defines an object-based model of the information that is exchanged between components of the building automation system and an application layer protocol that is used to access and manipulate this information. It also provides a way to convey the information across a variety of local and wide-area networks that may be interconnected to form an internetwork. In this study, the performance of three BACnet local area networking options is investigated using simulation models developed using ARENA, a tool for simulating discrete event dynamic systems. This study evaluates the delay characteristics of Master-Slave/Token-Passing (MS/TP), Attached Resource Computer Network (ARCNET), and ISO-8802-3 (Ethernet) networks being used to deliver BACnet application services. Analysis of the simulation results was used to identify the network parameters that influence the performance of BACnet application services and to develop recommendations that should be considered when designing and operating BACnet systems.

2019

Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks

Network simulators have been widely used to test and benchmark communication networks, their protocols and services. While new simulators have been developed to account for new technologies and standards, adapting and developing existing, popular network simulators to cope with the everincreasing number and diversity of distributed applications is considerably more challenging. To fill this gap, this paper introduces the Network Simulation Bridge, or NSB for short, a simple, low-overhead pipeline consisting of a message server and client interface libraries that bridge together applications and network simulators. NSB is application-, network simulator-, and platform-agnostic and uses a "plug-and-play" approach which allows it to integrate any application frontend with any network simulator back-end. We showcase NSB by using it to integrate two different distributed applications with the OMNeT++ network simulator. Our performance evaluation confirms that NSB incurs relatively low overhead and exhibits adequate scalability. We open-source the NSB pipeline and its APIs through a publicly available repository.

Ashrae Journal, 2002

Fellow ASHRAE ith nearly non-stop increases in computing power and decreasing hardware costs, the last seven years have been exciting for the computing and data communication industries. It also has been an exciting time for BACnet, with thousands of new installations worldwide, new sources of supply, and greater acceptance on the part of engineers, contractors, and building owners. One of BACnet's greatest strengths is its ability to adapt to new networking technologies and the evolving needs of its users. The challenge for ASHRAE Standing Standards Project Committee (SSPC) 135, responsible for BACnet's ongoing development and enhancement, has been to embrace the changes brought by these two forces without unduly affecting existing implementations of the protocol. Backward compatibility has been one of the committee's greatest concerns since it began work in 1995, the year BACnet was originally published as ANSI/ASHRAE Standard 135-1995, BACnet-A Data Communication Protocol for Building Automation and Control Networks. Since that time the SSPC has processed BACnet goes to Washington. Capitol Hill buildings will have BACnet installed during the next few years.

This document aims to survey three of the currently available and widely used tools, in the field of simulation and modelling of communication systems. The surveys have been written by different team members, hence he difference in style between each tool. Unfortunately the amount of information available is not constant for all of the three tools, which resulted in the non homogenous flow of the document. As questions answered for one tool, will most likely not be the same as the any of the other tools.

2020

Innovative distributed systems are often studied with the aid of simulation, especially in the case of large scale and situated systems. One of the key aspects of distributed systems is the presence of a set of nodes which must communicate with each other in order to perform their collective task. Consequently, the behaviour of the network plays a key role in determining how the distributed system will act as a whole, but support for realistic simulation of network communication may not be available in simulators that focus on higher-level phenomena, such as the execution of a program on the nodes belonging to a distributed system. Network simulation is usually performed with dedicated simulators which, on the other hand, mostly focus on low-level aspects, such as the behaviour of the physical channels and of the network protocols. The present works aims at filling this gap between high-level distributed system simulation and low-level network simulation by creating a cross-simulato...

— In the network research area, establishing of network in a real time scenario is very difficult. A single test bed takes a large amount of time and cost. So implementation of a whole network in real world is not easily possible and very costly to. The simulator helps the network developer to check whether the network is able to work in the real time. Thus both the time and cost of testing the functionality of network have been reduced and implementations are made easy. In this paper, we introduce the main features of different simulator and consider their advantages and disadvantages. We hope this survey prove to be a good reference source for those people who feel difficult to select the appropriate network simulators for their research.

1989

This paper describes Nest, an graphical environment for distributed networked systems simulation and rapid-prototyping. Nest users can develop and test distributed systems and protocols (from crude models to actual system code) within simulated network scenarios. Nest represents an environment-based approach to simulation. Users view Nest as an extension of their standard Unix'"" environment. Nest offers the generality of language-based simulation techniques and the efficiencies of model-based techniques. Users interact with Nest through standardized graphical interfaces. Nest permits the users to modify and reconfigure the simulation during execution. Thus, it is possible to study the dynamic response of a distributed system to failures or burst-loads. Nest is organized as a simulation server, responsible for execution of complex simulation scenarios and client monitors responsible for simulation control. The client/server model permits distribution of Nest over a network environment. This permits migration of simulations to powerful remote computational servers as well as development of a shared multi-site simulationflntegration testbed. Nest is ponable and extensible. It has been ported to virtually all Unix variants and distributed since 1987 to over 150 sites worldwide. It has been used in scores of studies ranging from communication protocols, to distributed databases and operating systems as well as distributed manufacturing systems. * Research supponed by DARPA contract HF-29601-87-C-0074 and by the NY State CAT contract #NYSSlFCA T(89)-5 t UNIX is a trademark of AT&T.

Benslama/Connections Management Strategies in Satellite Cellular Networks, 2015

2019

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