مدیریت کشسانی منابع با استفاده از کنترل کننده فازی مبتنی بر تغییرات حد آستانه در محیط رایانش ابری

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشگاه آزاد اسلامی واحد قم

2 موسسه غیر انتفاعی تعالی قم

چکیده

افزایش محبوبیت و سود­آوری رایانش ابری وابسته به تأمین قابلیت­ها و ویژگی­های مورد نظر کاربران ابری می‌باشد. خاصیت کشسانی، به­عنوان یکی از قوی­ترین ویژگی­هایی محسوب می‌شود که حوزه رایانش ابری را از دیگر رویکردهای سامانه­های توزیعی، مجزا می‌کند. رایانش ابری ظرفیت منابع را برای مصرف کننده به‌صورت بی­نهایت در نظر می‌گیرد و مصرف کننده، می‌تواند منابع را برحسب تقاضا و بر ‌اساس نرخ رقابتی در اختیار بگیرد و میزان منابع را افزایش یا کاهش دهد. اگر چه راه‌حل‌های مختلفی برای مدیریت کشسانی تاکنون توسعه داده ‌شده‌اند، اما کارهای بیشتری نیاز است تا خاصیت کشسانی ابر را به‌صورت کاراتر مدیریت نمایند. در این مقاله، رویکردی برای بهبود خاصیت کشسانی با استفاده از سامانه کنترل فازی مبتنی بر تغییرات حد آستانه برای کاربردهای محاسبات با عملکرد بالا در شبکه­های ابری ارائه می­شود. در روش پیشنهادی مدیریت کشسانی بر‌ پایه نظارت و تصمیم­گیری مستمر انجام می‌شود. نتایج مشخص می­کند که روش پیشنهادی عملکرد بهتری در مورد زمان پاسخگویی، هزینه و تخطی از شرایط سرویس­دهی، نسبت به روش‌های پیشین دارد. میانگین زمان پاسخگویی روش پیشنهادی در مقایسه با دو روش مورد مقایسه مقاله به ترتیب 5/6% و 9%، میانگین هزینه به ترتیب 6% و 12% و میانگین تخطی از شرایط پذیرش سرویس به ترتیب 68% و 5/77% کاهش یافته است.

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