Leveraging symbiotic relationship between simulation and emulation for scalable network experimentation

Erazo, Miguel A.; Liu, Jason

doi:10.1145/2486092.2486103

Cited by 10 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For this reason, trustworthiness is one of the open challenges in the field of IoT simulation (Mishra et al 2012;Gluhak et al 2011;Chernyshev et al 2018). However, by emulating part of the IoT system this gap can be mitigated (McGregor 2002;Erazo & Liu 2013).…”

Section: Related Workmentioning

confidence: 99%

Simulate IoT Towards the Cloud-to-Thing Continuum Paradigm for Task Scheduling Assessments.

Barriga,

Chaves-González,

Barriga

et al. 2023

JOT

View full text Add to dashboard Cite

Aiming to optimise the performance of the computing layers of Internet of Things (IoT) systems, one of the most widespread techniques is the well-known task scheduling. Not only to develop but also to put task scheduling techniques in production, they have to be tested. Nevertheless, IoT systems are complex scenarios with high technological heterogeneity. Thus, testing task scheduling methods in the IoT context involves an investment of money, time and effort in acquiring devices, their configuration, deployment, etc. To avoid this, the system can be simulated and tests can be conducted through these simulations. Moreover, the underlying technical complexity of IoT systems can be reduced by increasing the abstraction level from which these systems are designed. Simulators based on model-driven development can help both to test and tackle the technological complexity of IoT systems. In this paper, a Domain-Specific Language based on SimulateIoT is proposed for the design, code generation and simulation of IoT systems for the assessment of task scheduling methods. Simulations include the generation and offloading of workflow-based tasks, the components required to handle these tasks, as well as the required resources to integrate the users' task scheduling methods in the simulations. All this, while providing an infrastructure based on the cloud-to-thing continuum paradigm on which to deploy and test these task scheduling environments, i.e., simulations can include the mist, edge, fog and cloud layers and the federation between them. In addition, a case study focused on an Industrial IoT (IIoT) system is illustrated to show the applicability of the proposed simulator.

show abstract

Section: Related Workmentioning

confidence: 99%

Simulate IoT Towards the Cloud-to-Thing Continuum Paradigm for Task Scheduling Assessments.

Barriga,

Chaves-González,

Barriga

et al. 2023

JOT

View full text Add to dashboard Cite

show abstract

“…Meanwhile, there have been many works studying the design and implement of simulators in the field of network and information systems. Erazo and Liu 29 focused on the synchronization technology of network simulation and proposed a high-performance model for digital simulators. The authors also combined the high-performance large-scale network simulation and high-fidelity network emulation together, guaranteeing that the applications and simulators can run in real operating environments and be tested under simulated network settings.…”

Section: Related Workmentioning

confidence: 99%

Real-time digital simulator for distributed systems

Chen

Han

et al. 2021

SIMULATION

View full text Add to dashboard Cite

Simulation has been widely adopted as a support tool for the validation and experimentation of distributed systems. It allows different devices and applications to be evaluated and analyzed without requiring the actual presence of those machines. Although the simulation plays an important role in investigating and evaluating the behaviors of devices, it results in a serious simulator building problem as the distributed systems become more and more complicated and dynamically data driven. Most of the existing simulators are designed and developed to target a specific type of application, lacking the capabilities to be a configurable and standardized tool for researchers. To solve the adaptability and reusability problems of simulators, this paper proposes a new approach to design and implement a configurable real-time digital simulator for hardware devices that are connected via data buses in distributed systems. First, the proposed simulator uses a logic automaton to simulate the activities of a real device, and generates the incentive data for tested equipment according to the predefined XML-based files. Then with a virtual bus, the simulator can receive, handle, and send data in various network environments, improving the flexibility and adaptability of a simulator design. Experimental results show that the proposed simulator has a high real-time performance, and can meet the increasing requirements of modern simulations of distributed systems.

show abstract

“…In ROSENET (Gu and Fujimoto 2007), a high-performance network simulator works with a low-fidelity network emulator, which can be geographically distributed, to enable large-scale network studies. This idea has been extended in SymbioSim (Erazo and Liu 2013), where network simulation and emulation form a symbiotic relationship, through which accurate network queuing behaviors can be reproduced in emulation using real-time simulation results. Jin et al (2012) proposed a technique of coordinating a parallel simulator with an emulation system based on virtual machines controlled by virtual time.…”

Section: Liumentioning

confidence: 99%

Real-time scheduling of logical processes for parallel discrete-event simulation

Liu¹

2013

2013 Winter Simulations Conference (WSC)

Self Cite

View full text Add to dashboard Cite

We tackle the problem of scheduling logical processes that can significantly affect the performance of running parallel simulation either in real time or proportional to real time. In particular, we present a comprehensive solution to dealing with the mixture of simulated and emulated events in a full-fledged conservatively synchronized parallel simulation kernel to improve efficiency and timeliness for processing the emulated events. We propose an event delivery mechanism for the parallel simulator to incorporate emulated events originated from the physical system. We augment the parallel simulation API to support emulation capabilities independent from a particular simulation domain. Preliminary experiments demonstrate the our simulator's real-time performance on high-performance computing platforms.

show abstract

Leveraging symbiotic relationship between simulation and emulation for scalable network experimentation

Cited by 10 publications

References 29 publications

Simulate IoT Towards the Cloud-to-Thing Continuum Paradigm for Task Scheduling Assessments.

Simulate IoT Towards the Cloud-to-Thing Continuum Paradigm for Task Scheduling Assessments.

Real-time digital simulator for distributed systems

Real-time scheduling of logical processes for parallel discrete-event simulation

Contact Info

Product

Resources

About