بهبود تخصیص منابع در محاسبات لبه موبایل با استفاده از الگوریتم بهینه سازی ازدحام ذرات و گرگ خاکستری
الموضوعات :
سیدابراهیم دشتی رحمت آبادی
1
,
سعید شب بویی
2
1 - هیات علمی
2 - دانشگاه آزاد اسلامی
الکلمات المفتاحية: بهبود تخصیص منابع , محاسبات لبه موبایل , الگوریتم بهینه سازی ازدحام ذرات, الگوریتم گرک خاکستری.,
ملخص المقالة :
محاسبات لبه موبایل تجربه کاربران نهایی را برای دستیابی به خدمات مناسب و کیفیت خدمات بهبود می دهد. در این مقاله مسئله بهبود تخصیص منابع هنگام بارگیری وظایف براساس دستگاه‌های تلفن همراه به سرورهای لبه در سیستم‌های محاسباتی بررسی می شود. برخی وظایف به صورت محلی پردازش و برخی به سرورهای لبه بارگذاری می شوند. مسئله اصلی این است که وظایف تخلیه‌شده برای ماشین‌های مجازی در شبکه های محاسباتی بصورت مناسب زمانبندی شوند تا زمان محاسبات، هزینه خدمات، اتلاف شبکه های محاسباتی و حداکثر ارتباط یک کار با شبکه به حداقل برسد. در این مقاله الگوریتم ترکیبی ازدحام ذرات و گرگ خاکستری برای مدیریت تخصیص منابع و زمانبندی وظایف برای دستیابی به یک نتیجه بهینه در شبکه های محاسبات لبه معرفی شد. نتایج مقایسه نشان دهنده بهبود زمان انتظار و هزینه در رویکرد پیشنهادی است. نتایج نشان می دهد که به طور میانگین مدل پیشنهادی با کاهش 10 درصدی زمان انجام کار و افزایش استفاده از منابع به میزان 16 درصد بهتر عمل کرده است.
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49. عارفیان، زهرا و خیام باشی، محمدرضا،1400،مقایسه کاهش تاخیر در ارتباطات از نوع ماشین با استفاده از محاسبات مه و محاسبات ابری.
50. طهماسبی پویا، نیلوفر و صرام، مهدی آقا،1400،بهبود توازن بار در محاسبات مه با استفاده از الگوریتم Q-Learning،Fifth National Conference on ComputerEngineering،https://civilica.com/doc/1281556
