Fogify: A Fog Computing Emulation Framework

Symeonides, Moysis; Georgiou, Zacharias; Trihinas, Demetris; Pallis, George; Dikaiakos, Marios D.

doi:10.1109/sec50012.2020.00011

Cited by 47 publications

(33 citation statements)

References 29 publications

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“…Fogify [30] appears to be one of the most capable tools according to our criteria. It uses Infrastructure-as-Code descriptions for containerized deployments to define experiment settings (i.e., Docker Compose) and features the possibility to adapt configurations at runtime (e.g., for injecting faults).…”

Section: Test Environments Without Hardware Integrationmentioning

confidence: 97%

“…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%

See 1 more Smart Citation

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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Section: Test Environments Without Hardware Integrationmentioning

confidence: 97%

Section: Domain Environmentmentioning

confidence: 99%

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

Beilharz¹,

Wiesner²,

Boockmeyer³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…In addition to that, another simulator that is an extension of CloudSim that can model TS-IoT applications as map-reduce applications and evaluate the performance of different TS-IoT data analysis techniques in cloud computing environments in terms of execution time and costs has been developed in [103]. More recently, a tool called Fogify [104] has been proposed to experiment and assess how TS-IoT applications behave under various volatilities of the IoT environment such as resource down times, network uncertainties, dynamic workloads etc. Fogify enables the users to inject the above-mentioned volatilities through a Runtime Model during the runtime of the application.…”

Section: Simulation Toolsmentioning

confidence: 99%

A Survey of Techniques for Fulfilling the Time-Bound Requirements of Time-Sensitive IoT Applications

et al. 2022

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This paper surveys existing techniques for meeting the time-bound requirements of time-sensitive applications in the Internet of Things (IoT). To provide the foundation for identifying and classifying relevant techniques, we present three sample time-sensitive IoT applications and their time-bound requirements, describe the main computation and network resources in IoT that can be used to process such applications, and identify the main challenges in meeting their time-bound requirements. Based on these, the paper presents a comprehensive literature review of existing techniques and tools that can help meet application-specific time-bound requirements in IoT. The paper also includes a gap analysis in existing research outcomes and proposes research directions for bridging the remaining research gaps in supporting time-sensitive IoT applications.

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“…We validate the CPU throttling in two different ways: crossreference and micro-benchmark. Firstly, we reckon that Fogify authors [6] used a similar formulation and evaluated it against Raspberry Pi 3 devices. The results between running the benchmark in real devices are throttled containers are comparable, with only marginal deviations.…”

Section: B Device Emulationmentioning

confidence: 99%

“…The closest work to ours is Fogify [6]. The two tools share many architectural similarities and are designed to study 'what-if' scenarios.…”

Section: Replicationmentioning

confidence: 99%

IOTier: A Virtual Testbed to evaluate systems for IoT environments

Nikolaidis

Marazakis

Bilas

2021

2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

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Internet of Things (IoT) is an emerging field characterized by constrained resources, Internet-based communication, arbitrary topologies, geographical distance, and variable operational conditions. Additionally, IoT architectures typically exhibit at least three tiers: IoT devices, Edge gateways, Cloud servers. On top of challenging the design of networked systems, multiple tiers create a web of complexity that makes systems evaluation a challenging endeavor. This paper presents a framework for transforming a cluster of lab machines into a Virtual Testbed that provides views of how systems will perform in a tiered IoT environment. Experiments with constrained resources (CPU, memory, block device, network), multiple tiers, and programmables events are presented and discussed. Their effects are analyzed on the common path operation of micro-benchmarks and distributed key/value store.

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Fogify: A Fog Computing Emulation Framework

Cited by 47 publications

References 29 publications

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

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

A Survey of Techniques for Fulfilling the Time-Bound Requirements of Time-Sensitive IoT Applications

IOTier: A Virtual Testbed to evaluate systems for IoT environments

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