NATMOS-WOA: یک رویکرد جدید برای مدیریت ترافیک در شبکه‌های نرم‌افزاری تعریف‌شده با استفاده از الگوریتم بهینه سازی نهنگ
محمدرضا فرقانی
1
(
دانشکده مهندسی کامپیوتر، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران.
)
شریفه السادات میرخلف
2
(
دانشکده مهندسی کامپیوتر، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران.
)
الکلمات المفتاحية: الگوریتم بهینه‌سازی نهنگ, شبکه‌های نرم‌افزار محور, تعادل بار دینامیک, مهندسی ترافیک, مسیریابی هوشمند, کاهش تأخیر.,
ملخص المقالة :
محاسبات ابری به دلیل ارائه عملکرد بالا در پردازش و خدمات‌رسانی به کاربران شبکه، به‌عنوان یک رویکرد کارآمد شناخته می‌شود، اما همچنان با چالش‌هایی مانند تأخیر پردازش بالا مواجه است. ترکیب محاسبات ابری و شبکه‌های نرم‌افزار محور (SDN) می‌تواند به بهبود این محدودیت‌ها کمک کند. در این مقاله، یک روش نوین مبتنی بر الگوریتم بهینه‌سازی نهنگ (WOA) برای انتخاب بهینه ضریب توزیع بار در تخصیص زمان اجرای وظایف ارائه‌شده است که منجر به کاهش تأخیر در شبکه می‌شود. الگوریتم بهینه‌سازی نهنگ در مطالعات متعددی برای بهینه‌سازی تخصیص منابع و تعادل بار در محیط‌های محاسبات ابری به کار گرفته‌شده است. به‌عنوان نمونه، یک استراتژی زمان‌بندی چندهدفه مبتنی بر WOA برای زمان‌بندی وظایف در محاسبات ابری پیشنهاد شده است که هدف آن به حداقل رساندن زمان تکمیل وظایف از طریق استفاده بهینه از منابع ماشین‌های مجازی و حفظ تعادل بار میان آن‌ها است؛ این امر منجر به کاهش هزینه عملیاتی سیستم می‌شود. علاوه بر این، الگوریتم WOA برای تخصیص بهینه وظایف به ماشین‌های مجازی مورداستفاده قرار گرفته است که تعداد مهاجرت‌های ماشین‌های مجازی را کاهش داده و درنتیجه، هزینه مهاجرت و مصرف انرژی را به حداقل می‌رساند. همچنین، این الگوریتم به‌عنوان ابزاری کارآمد برای مقایسه نتایج در زمینه تعادل بار، زمان‌بندی منابع و بهبود بهره‌وری انرژی در سیستم‌های ابری به‌کاررفته شده است.
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