Modelling IoT Application Requirements for Benchmarking IoT Middleware Platforms

Mondal, Shalmoly; Hassani, Alireza; Jayaraman, Prem Prakash; Haghighi, Pari Delir; Georgakopoulos, Dimitrios

doi:10.1145/3487664.3487742

Cited by 2 publications

(8 citation statements)

References 7 publications

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“…We describe briefly the key components for developing the SA-IoTDG framework. The framework is divided into four major parts: IoTSySML_X: We extend on our previous IoTSySML model [ 15 ] which was developed to capture the requirements of IoT applications. We integrate the concepts of situations and context from the domain of CST [ 10 ] to strengthen the model.…”

Section: Situation Aware Iot Data Generation Frameworkmentioning

confidence: 99%

“…IoTSySML_X: We extend on our previous IoTSySML model [ 15 ] which was developed to capture the requirements of IoT applications. We integrate the concepts of situations and context from the domain of CST [ 10 ] to strengthen the model.…”

Section: Situation Aware Iot Data Generation Frameworkmentioning

confidence: 99%

“…In this section, we extend on our previous model [ 15 ] to enhance its functionality. Our previous model IoTSySML [ 15 ] was developed to provide a formal way to capture the requirements of IoT applications, which was missing in existing literature. Identifying and modelling the application requirements enables generating data relevant to the IoT applications.…”

Section: Situation Aware Iot Data Generation Frameworkmentioning

confidence: 99%

“…A SySML model that captures the requirements of IoT applications. This model is an extension to our past work [ 15 ]. We extend this model to capture the IoT application situations and the transitions.…”

Section: Introductionmentioning

confidence: 99%

“…The framework is configurable and can be extended for multiple IoT use cases. We extend the IoTSySML model [ 15 ] to represent IoT situations and transitions. We introduce a Markov chain-based approach for situation transition to generate real-world IoT data to support performance evaluation of IoT middleware platforms running IoT applications.…”

Section: Introductionmentioning

confidence: 99%

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Situation-Aware IoT Data Generation towards Performance Evaluation of IoT Middleware Platforms

Mondal

Jayaraman

Haghighi

et al. 2022

Sensors

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With the increasing growth of IoT applications in various sectors (e.g., manufacturing, healthcare, etc.), we are witnessing a rising demand of IoT middleware platform that host such IoT applications. Hence, there arises a need for new methods to assess the performance of IoT middleware platforms hosting IoT applications. While there are well established methods for performance analysis and testing of databases, and some for the Big data domain, such methods are still lacking support for IoT due to the complexity, heterogeneity of IoT application and their data. To overcome these limitations, in this paper, we present a novel situation-aware IoT data generation framework, namely, SA-IoTDG. Given a majority of IoT applications are event or situation driven, we leverage a situation-based approach in SA-IoTDG for generating situation-specific data relevant to the requirements of the IoT applications. SA-IoTDG includes a situation description system, a SySML model to capture IoT application requirements and a novel Markov chain-based approach that supports transition of IoT data generation based on the corresponding situations. The proposed framework will be beneficial for both researchers and IoT application developers to generate IoT data for their application and enable them to perform initial testing before the actual deployment. We demonstrate the proposed framework using a real-world example from IoT traffic monitoring. We conduct experimental evaluations to validate the ability of SA-IoTDG to generate IoT data similar to real-world data as well as enable conducting performance evaluations of IoT applications deployed on different IoT middleware platforms using the generated data. Experimental results present some promising outcomes that validate the efficacy of SA-IoTDG. Learning and lessons learnt from the results of experiments conclude the paper.

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Section: Situation Aware Iot Data Generation Frameworkmentioning

confidence: 99%

Section: Situation Aware Iot Data Generation Frameworkmentioning

confidence: 99%

Section: Situation Aware Iot Data Generation Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Situation-Aware IoT Data Generation towards Performance Evaluation of IoT Middleware Platforms

Mondal

Jayaraman

Haghighi

et al. 2022

Sensors

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Library practitioners’ perceptions on the applications of IoT in university libraries of Bangladesh

Saha,

Roknuzzaman

2024

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PurposeThe major objectives of this study are to explore the perceptions of library practitioners towards IoT and to suggest directions for its proper application in university libraries of Bangladesh.Design/methodology/approachThe study conducted an online questionnaire-based survey of library practitioners working at university libraries in Bangladesh in addition to an email interview with ten librarians. A sample size of 310 library practitioners was obtained using the convenience sampling technique for the survey. Non-parametric tests were performed to examine the differences in demographics and perspectives on IoT, as well as the potential benefits and challenges of IoT deployment in libraries.FindingsA total of 178 valid surveys were completed, and the results indicate that 147 (82.6%) library practitioners have varied degrees of IoT understanding and positive attitudes about IoT applications in libraries. The study identified RFID, wireless technologies, cloud computing, mobile apps, artificial intelligence and semantic search as major IoT enablers. Tracking, book reservation, circulation, user identification, service marketing, selection of resources, information networking and resource sharing, etc. are the main areas of a library where IoT may be applied. The integration of IoT has the potential to transform conventional libraries into smart libraries. However, there are some challenges that Bangladeshi university libraries must overcome to take use of the prospects emerged from IoT.Research limitations/implicationsThe study would encourage Bangladeshi librarians adopting IoT-based library and information services and provide guidelines for its successful implementation.Originality/valueThe study is a pioneering effort from Bangladesh’s perspective which portrays the original opinions and perceptions of library practitioners regarding IoT applications in university libraries of Bangladesh.

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Modelling IoT Application Requirements for Benchmarking IoT Middleware Platforms

Cited by 2 publications

References 7 publications

Situation-Aware IoT Data Generation towards Performance Evaluation of IoT Middleware Platforms

Situation-Aware IoT Data Generation towards Performance Evaluation of IoT Middleware Platforms

Library practitioners’ perceptions on the applications of IoT in university libraries of Bangladesh

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