Software-Defined Virtual Testbed for IoT Systems

Sendorek, Joanna; Szydło, Tomasz; Brzoza-Woch, Robert

doi:10.1155/2018/1068261

Cited by 14 publications

(5 citation statements)

References 18 publications

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“…First references of virtual testbeds originate Ì ISSN: 2252-8814 from various application domains, e.g. communication technology [14], medicine [15], aerospace engineering [16], [17], building services [18], as well as IoT [19]. However, early virtual testbeds were mostly applicationspecific, providing simulation functionality only for special requirements and issues.…”

Section: Virtual Testbedmentioning

confidence: 99%

Veriﬁcation and validation of digital twins and virtual testbeds

Dahmen

Osterloh

Roßmann

2022

IJAAS

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Our society is surrounded by technical systems that increasingly inﬂuence and take over aspects of everyone’s everyday life. As we build on the correct functioning, the need for appropriate methodologies that support the development of reliable products persists. However, the development and in particular the qualiﬁcation become challenging due to their increasing inherent complexity. Virtual testbeds and digital twins are modern key concepts in this context and offer a wide range of opportunities for simulation-based veriﬁcation and validation processes with virtual prototypes, especially in cases where real tests are hard to perform. However, the validity of test results derived from virtual experiments depends on the quality of the underlying simulation models. Of course, the models themselves must be veriﬁed before. But in the context of virtual testbeds and digital twins this becomes challenging since the corresponding models are usually complex themselves. Therefore, we presented an approach to establish structured veriﬁcation and validation activities for digital twins and virtual testbeds, based on a modular conﬁguration framework that supports the development of complex simulation models.

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Section: Virtual Testbedmentioning

confidence: 99%

Veriﬁcation and validation of digital twins and virtual testbeds

Dahmen

Osterloh

Roßmann

2022

IJAAS

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“…UiTiOt (version 3) [30] provides a testbed for integrating real IoT devices with emulated devices that run as containers on virtual machines to support large-scale experimentation. Sendorek et al [41] propose the concept of a software-defined IoT test environment. Their proposed testbed can define virtual environments, virtual sensors and virtual communication devices as software, thereby allowing the combination of virtual and real equipment for testing IoT application and communication protocols.…”

Section: Related Workmentioning

confidence: 99%

A Domain-Specific Language for Simulation-Based Testing of IoT Edge-to-Cloud Solutions

Li¹,

Nejati²,

Sabetzadeh³

et al. 2022

Preprint

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The Internet of things (IoT) is increasingly prevalent in domains such as emergency response, smart cities and autonomous vehicles. Simulation plays a key role in the testing of IoT systems, noting that field testing of a complete IoT product may be infeasible or prohibitively expensive. In this paper, we propose a domain-specific language (DSL) for generating edge-to-cloud simulators. An edgeto-cloud simulator executes the functionality of a large array of edge devices that communicate with cloud applications. Our DSL, named IoTECS, is the result of a collaborative project with an IoT analytics company, Cheetah Networks. The industrial use case that motivates IoTECS is ensuring the scalability of cloud applications by putting them under extreme loads from IoT devices connected to the edge. We implement IoTECS using Xtext and empirically evaluate its usefulness. We further reflect on the lessons learned.

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“…We define this functionality to be present when the test environment supports to alter the domain environment during runtime in a way that is expected to introduce faults in the application running on the nodes. [23] 2017 C ----IOTier [24] 2021 -C TS --Fogify [30] 2020 C TS --MockFog [12] 2019 V TS --Blockade [33] 2014 C TS --Distem [28] 2013 C TS --Fogbed [6] 2018 C SDN --EmuFog [20] 2017 C SDN --Dockemu [26] 2015 C NS --EmuEdge [35] 2019 VC TS --Héctor [2] 2019 V TS --Sendorek et al [29] 2018 -V SDN --Chameleon [14] 2015 V SDN --StarBED [21] 2002 V SDN --UiTiOt [16] 2017 -C NS --WHYNET [38] 2006 -V NS --MobiNet [17] 2005 -V NS --…”

Section: Domain Environmentmentioning

confidence: 99%

“…Using Software-Defined Networking. Sendorek et al [29] describe an elaborated concept for a software-defined virtual test environment for IoT systems. Their system supports three so called "immersion levels" that range from fully virtualized environments for low-cost, scalable experiments to environments with real devices and sensors for testing under realistic conditions.…”

Section: Test Environments With Hardware Integrationmentioning

confidence: 99%

Continuously Testing Distributed IoT Systems: An Overview of the State of the Art

Beilharz¹,

Wiesner²,

Boockmeyer³

et al. 2021

Preprint

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The continuous testing of small changes to systems has proven to be useful and is widely adopted in the development of software systems. For this, software is tested in environments that are as close as possible to the production environments. When testing IoT systems, this approach is met with unique challenges that stem from the typically large scale of the deployments, heterogeneity of nodes, challenging network characteristics, and tight integration with the environment among others. IoT test environments present a possible solution to these challenges by emulating the nodes, networks, and possibly domain environments in which IoT applications can be executed. This paper gives an overview of the state of the art in IoT testing. We derive desirable characteristics of IoT test environments, compare 18 tools that can be used in this respect, and give a research outlook of future trends in this area.

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Software-Defined Virtual Testbed for IoT Systems

Cited by 14 publications

References 18 publications

Veriﬁcation and validation of digital twins and virtual testbeds

Veriﬁcation and validation of digital twins and virtual testbeds

A Domain-Specific Language for Simulation-Based Testing of IoT Edge-to-Cloud Solutions

Continuously Testing Distributed IoT Systems: An Overview of the State of the Art

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