An Efficient Application Deployment in Fog

  • سال انتشار: 1402
  • محل انتشار: مجله بین المللی ارتباطات و فناوری اطلاعات، دوره: 15، شماره: 3
  • کد COI اختصاصی: JR_ITRC-15-3_004
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 219
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نویسندگان

Masomeh Azimzadeh

Department of Computer Engineering Science and Research Branch, Islamic Azad University Tehran, Iran

Ali Rezaee

Department of Computer Engineering Science and Research Branch, Islamic Azad University Tehran, Iran

Somayyeh Jafarali Jassbi

Department of Computer Engineering Science and Research Branch, Islamic Azad University Tehran, Iran

Mehdi Esnaashari

Faculty of Computer Engineering K. N. Toosi University of Technology University Tehran, Iran

چکیده

Fog computing emerged to meet to the needs of modern IoT applications, such as low latency, high security, etc. To this end, it brings the network resources closer to the end user. The properties of fog computing, such as heterogeneity, distribution, and resource limitations, have challenged application deployment in this environment. Smart service placement means deploying services of the IoT applications on fog nodes in a way that their service quality requirements are met and fog resources are used effectively. This paper proposes an efficient application deployment method in fog computing using communities. In contrast to previous research, the proposed method uses more factors than topological features to distribute network capacity more evenly between communities. This results in efficient use of network resources and better fulfillment of application requirements. In addition, according to our argument, using multiple criteria to prioritize applications will lead to better deployment and more effective use of resources. For this purpose, we use the number of application requests besides the deadline factor for application prioritization. Extensive simulation results showed that the proposed method significantly outperforms the state-of-the-art methods in terms of meeting deadlines, decreasing delays, increasing resource utilization, and availability by about ۱۷, ۳۳, ۷, and ۱۱ percent, respectively.

کلیدواژه ها

Fog Computing, Application Deployment, Evolutionary Computation

اطلاعات بیشتر در مورد COI

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کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.