یک روش استقرار سرویس و تخصیص منابع مبتنی بر الگوریتم جستجوی عروسهای دریایی ارتقا داده شده برای محیطهای پردازش لبه همراه چهار لایهای | ||
| پژوهش های نظری و کاربردی هوش ماشینی | ||
| مقاله 6، دوره 3، شماره 1، شهریور 1404، صفحه 85-109 اصل مقاله (2.1 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22034/abmir.2025.22356.1071 | ||
| نویسندگان | ||
| محمدرضا حقیقت افشار1؛ کامبیز مجیدزاده* 2؛ محمد مصدری2؛ فرامرز فتح نژاد2 | ||
| 1دانشجوی دکترا، گروه کامپیوتر، واحد ارومیه، دانشگاه آزاد اسلامی، ارومیه، ایران | ||
| 2استادیار، گروه کامپیوتر، واحد ارومیه، دانشگاه آزاد اسلامی، ارومیه، ایران | ||
| چکیده | ||
| محاسبات لبه همراه (MEC) بهعنوان رویکردی جدید در شبکهها، منابع را برای ارائه خدمات باکیفیت در چندین لایه سازماندهی میکند. از چالشهای اساسی در این شبکهها، میتوان به انتخاب بهینهترین منبع برای سرویسهای درخواستی کاربران اشاره کرد که با نام استقرار سرویس یا به اختصار SPP شناخته میشود. در SPP با در نظر گرفتن محدودیتهای مختلف QoS، برای هر درخواست کاربران بهینهترین منبع از لایههای لبه، مه و ابر انتخاب میشود. یک الگوریتم تخصیص بهینه منابع میتواند به صورت چشمگیری رضایت کاربران و فراهمکنندگان خدمات را افزایش داده و با بهینه کردن ارتباطات و کاهش زمان سرویسدهی باعث افزایش بهرهوری کل سیستم شود. ازاینرو، در این مقاله یک چهارچوب جدید با نام EMLJSA برای استقرار سرویسها و تخصیص منابع در شبکههای چند لایهای MEC فراهم شده است. در EMLJSA یک نسخه بهبود داده شده از الگوریتم فرا ابتکاری جستجوی عروسهای دریایی بکار گرفته شده که در آن معادلات پایه این الگوریتم اصلاح شدهاند. همچنین، یک نسخه از عملگر جهش و یک مکانیزم جستجوی همسایگی آشوبناک برای افزایش بهرهوری و قابلیتهای جستجو معرفی گردیده است. برای ارزیابی کارایی الگوریتم پیشنهادی دوازده شبکه MEC چهار لایهای طراحی شده است. نتایج آزمایشها به صورت عددی و گرافیکی با هفت روش مشابه مقایسه شدهاند، که اثربخشی و برتری روش پیشنهادی را نشان میدهند. | ||
| کلیدواژهها | ||
| محاسبات لبه همراه؛ پردازش مه و ابر؛ استقرار سرویس؛ تخصیص منابع؛ بهینهسازی | ||
| عنوان مقاله [English] | ||
| A Service Placement and Resource Allocation Method based on an Enhanced Jellyfish Search Algorithm for Four-layer Mobile Edge Computing Environ | ||
| نویسندگان [English] | ||
| Mohammadreza Haghighat Afshar1؛ Kambiz Majidzadeh2؛ Mohammad Masdari2؛ Faramarz Fathnezhad2 | ||
| 1PhD Student, Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran | ||
| 2Assistant Professor, Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran | ||
| چکیده [English] | ||
| Mobile edge computing (MEC) is a new networking paradigm that organizes resources in multiple layers to provide high quality services. The resources and services provided in each layer are different regarding the quality, speed, and power. Selecting the most optimal resource among the many resources provided in the edge, fog, and cloud layers for the services requested by the network users under various Quality-of-Service (QoS) restrictions is one of the essential challenges in these networks, which is named Service Placement Problem (SPP). An optimal resource placement algorithm can significantly increase the satisfaction of users and service providers and enhance the overall productivity of the entire system by optimizing communications and reducing service times. Consequently, a new framework called EMLJSA is provided in this paper to solve service placement and resource allocation in four-layer MEC environments. In the EMLJSA, an improved version of Jellyfish Search algorithm (JS) is introduced, in which the basic equations are rectified. Also, a variant of the mutation operator and a chaotic neighborhood search mechanism have been utilized in order to enhance exploration, exploitation, and local departure capabilities. In the next step, twelve four-layer MEC networks are designed to evaluate the effectiveness of the contributions and the proposed algorithm. Finally, the results of the proposed algorithm are compared with seven state-of-the-art methods numerically and visually. The experimental results demonstrate the effectiveness of the innovations and the superiority of the proposed method over the existing methods. | ||
| کلیدواژهها [English] | ||
| Mobile Edge Computing, Fog and Cloud Computing, Service Placement, Resource Allocation, Optimization | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 180 تعداد دریافت فایل اصل مقاله: 77 |
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