ارزیابی عملکرد سیستم اینترنت اشیا تحت مدل رایانش ابری

نوع مقاله : مقاله علمی-پژوهشی

نویسندگان

1 دانشجوی دکتری، مدیریت فناوری اطلاعات ، دانشکده مدیریت، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران،

2 استاد گروه مدیریت صنعتی، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی، تهران، ایران

3 دانشیار، گروه مدیریت، دانشکده مدیریت، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران . رایانامه :

4 گروه مدیریت صنعتی، دانشکده مدیریت، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران.

10.22034/jtd.2025.2024680.1926
چکیده
با توجه به رشد سریع فناوری اینترنت اشیا (IoT) و تأثیر آن بر صنایع مختلف، ارزیابی عملکرد این سیستم‌ها به یک نیاز ضروری تبدیل شده است. فقدان استانداردهای مشخص و روش‌های مؤثر برای ارزیابی عملکرد، منجر به نابرابری کیفیت محصولات و ایجاد سردرگمی برای کاربران شده است. در این تحقیق، از یک مدل ارزیابی مبتنی بر لایه‌های مختلف اینترنت اشیا استفاده کرده‌ایم. این مدل شامل سه لایه اصلی است: لایه ادراک، لایه انتقال و لایه کاربرد. هر یک از این لایه‌ها با استفاده از شاخص‌های خاص خود مورد بررسی قرار گرفته‌اند. پردازش داده‌ها و شبیه‌سازی تجربی برای دستیابی به هدف ارزیابی عملکرد سیستم اینترنت اشیا استفاده‌شده است. مدل پیشنهادی بر اساس تجزیه و تحلیل دقیق داده‌ها و استفاده از تکنیک تصمیم گیری چند معیاره موسوم به (BWM) برای ارزیابی عملکرد سیستم‌های اینترنت اشیا طراحی شده است. نتایج نشان می‌دهد که با افزایش تعداد شاخص‌های عملکرد به پنج، دقت ارزیابی به طور قابل توجهی افزایش می‌یابد و سطح عملکرد سیستم‌ها به وضوح مشخص می‌شود. این امر اعتبار مدل را تقویت کرده و امکان تصمیم‌گیری بهتر برای کاربران را فراهم می‌آورد.این تحقیق به ارائه یک چارچوب جامع برای ارزیابی عملکرد سیستم‌های اینترنت اشیا کمک می‌کند و می‌تواند به عنوان مرجع مناسبی برای پژوهشگران و صنعتگران در این حوزه مورد استفاده قرار گیرد.

کلیدواژه‌ها

موضوعات


عنوان مقاله English

Evaluation of the performance of the Internet of Things system under the cloud computing model

نویسندگان English

mohammad shirdel 1
Maghsoud Amiri 2
Mohammad Ali Afshar Kazemi 3
Mohammad Reza Motadel 4
1 Ph.D. Candidate, Department of information technology , Faculty of Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 Professor., Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.
3 Associate Prof., Department of Management, Faculty of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran. E-mail:m_afsharkazemi@iauec.ac.ir
4 Assistant Prof., Department of Industrial Management, Faculty of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
چکیده English

The rapid growth of IoT technology has significantly impacted various industries, making performance evaluation of these systems essential. However, the absence of specific standards and effective evaluation methods has resulted in inconsistent product quality and confusion among users. In this research, we propose an evaluation model based on the different layers of IoT, specifically the perception layer, transmission layer, and application layer. Each layer is examined using its own set of indicators. We employ data processing and experimental simulation to assess the performance of IoT systems. The proposed model utilizes a multi-criteria decision-making technique known as the Best-Worst Method (BWM) to enhance evaluation accuracy. Our results indicate that increasing the number of performance indicators to five significantly improves evaluation accuracy and clearly delineates system performance levels. This strengthens the model's validity and facilitates better decision-making for users. This research provides a comprehensive framework for evaluating IoT system performance and serves as a valuable reference for researchers and industry professionals.

کلیدواژه‌ها English

System performance
IoT
Cloud model
Cloud computing
Best-Worst Method
خاتم زاده، مجتبی. تاجفر، امیرهوشنگ، قیصری، محمد. (1395). مدیریت دارایی­های سازمان بااستفاده از فناوری اینترنت اشیا مبتنی بر رایانش ابری، نخستین کنفرانس بین­المللی پارادیم­های نوین مدیریت هوشمندی تجاری و سازمانی، تهران.
https://civilica.com/doc/500273
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دوره 23، شماره 61
پاییز 1404
صفحه 55-72

  • تاریخ دریافت 19 فروردین 1403
  • تاریخ بازنگری 30 دی 1403
  • تاریخ پذیرش 14 بهمن 1403