EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures

Mayer, Ruben; Graser, Leon; Gupta, Harshit; Saurez, Enrique; Ramachandran, Umakishore

doi:10.48550/arxiv.1709.07563

Cited by 1 publication

(3 citation statements)

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“…Moreover, they have not considered important communication parameters such as bandwidth as well [101]. In [102], researchers proposed an emulator known as EmuFog that is capable of emulating large IoT resource nodes topologies and TS-IoT application tasks, which are developed as docker container images, which could be emulated on top of the network and measure performance in terms of latency and cost. 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].…”

Section: Simulation Toolsmentioning

confidence: 99%

“…In Section 7, we reviewed existing research that relied on simulation tools, such as iFogSim [78], IoTSim [103], and EmuFog [102], to estimate the resources required by TS-IoT applications and their tasks (we refer to these tools as task sizing tools).…”

Section: Task Sizing Techniques For Ts-iot Applicationsmentioning

confidence: 99%

“…As we discussed in Section 7, simulation tools are used to simulate and evaluate the performances of TS-IoT application techniques. However, existing simulation tools [74,78,101,102,103,104] partially support the TS-IoT applications and they are not fully compatible with all the IoT application models discussed in section 7.…”

Section: Simulation Tools For Ts-iot Applicationsmentioning

confidence: 99%

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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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Section: Simulation Toolsmentioning

confidence: 99%