تکنیک هوشمند مبتنی بر الگوریتم چتر دریایی برای زمانبندی وظایف بر اساس اولویت در شبکههای IoT/Fog
الموضوعات : مهندسی برق و کامپیوترسکینه سهرابی 1 , مهدی سخائی نیا 2 , محمد نصیری 3 , رضا محمدی 4
1 - گروه مهندسی کامپیوتر، دانشگاه بوعلی سینا، همدان، ایران
2 - گروه مهندسی کامپیوتر، دانشگاه بوعلی سینا، همدان، ایران
3 - گروه مهندسی کامپیوتر، دانشگاه بوعلی سینا، همدان، ایران
4 - گروه مهندسی کامپیوتر، دانشگاه بوعلی سینا، همدان، ایران
الکلمات المفتاحية: اینترنت اشیاء, محاسبات مه, الگوریتم تخصیص منابع, الگوریتم چتر دریایی, الگوریتم ژنتیک,
ملخص المقالة :
محاسبات مه به منظور بهبود کیفیت خدمات برنامههای کاربردی اینترنت اشیا در محاسبات ابری معرفی شده است، انتقال حجم عظیم داده توسط دستگاههای اینترنت اشیا منجر به تأخیر بیشتر و سربار پهنای باند در محاسبات ابری شده است. از سوی دیگر دستگاههای اینترنت اشیا منجر به تولید حجم زیادی از دادهها برای پردازش شده است که به نوبه خود بار روی شبکه محاسباتی مه – ابر را افزایش میدهد و مشکلاتی را ایجاد میکند که نیازمند مدیریت منابع در این محیط است. پیچیدگی و تنوع وظایف و منابع درگیر در لایه مه، ارائه یک استراتژی مناسب برای زمانبندی وظایف را دشوار میکند. هدف زمانبندی وظایف، به حداکثر رساندن تخصیص و اجرای وظایف تحت سیستمهای محاسباتی مه - ابر و در عین حال در نظر گرفتن محدودیتهای مربوطه است. بنابراین، این مطالعه یک الگوریتم زمانبندی کار پیشرفته با استفاده از الگوریتم چتر دریایی و الگوریتم ژنتیک برای کاهش مصرف انرژی و زمان اجرا پیشنهاد کرده است تا اولویت وظایف رعایت شود. نتایج شبیهسازی و مقایسهی الگوریتم پیشنهادی با الگوریتمهای پیشرفته مورد بررسی در این مقاله برتری روش پیشنهادی در کاهش زمان اجرا و مصرف انرژی را تایید میکند.
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