بهبود توازن بار پویا و زمان پاسخ در شبکه‌های نرم‌افزارمحور با بهره‌گیری از الگوریتم‌های برنامه‌ریزی آرمانی چند منظوره‌ی فازی
محورهای موضوعی : فناوری اطلاعات و ارتباطات
محمدرضا فرقانی
1
,
محمدرضا سلطان آقایی کوپائی
2
,
فرساد زمانی بروجنی
3
1 - دانشگاه آزاد اسلامی واحد اصفهان (خوراسگان)
2 - دانشگاه آزاد اسلامی واحد اصفهان(خوراسگان)
3 - دانشگاه آزاد اسلامی واحد اصفهان ( خوراسگان)
کلید واژه: شبکه نرم¬افزار محور, توازن بار پویا, بهینه¬سازی چند منظوره, الگوریتم رأی¬گیری فازی,
چکیده مقاله :
شبکه‌های نرم‌افزارمحور به عنوان یک رویکرد کارآمد در حوزه فناوری ارتباطات شناخته شده‌اند که هدف آن¬ها بهبود عملکرد و بهره‌وری شبکه‌های کامپیوتری است و در نتیجه کاهش هزینه‌ها را به همراه دارند. یکی از چالش‌های اساسی در شبکه‌های نرم‌افزارمحور، توازن بار بین گره‌ها است. حل این چالش باعث بهبود زمان پاسخ و عملکرد شبکه می‌شود. امروزه روش‌های متعددی برای توازن بار در شبکه‌های نرم‌افزارمحور ارائه شده است، اما هنوز به وضعیت ایده‌آل نرسیده‌اند. در این مقاله، یک روش جدید برای بهبود توازن بار و کاهش زمان پاسخ ارائه می‌شود. این روش از الگوریتم‌های برنامه‌ریزی آرمانی چند منظوره و وزن‌دهی فازی بهره می‌برد. در روش پیشنهادی، فاکتورهایی مانند پهنای باند، وضعیت ترافیک، لینک بافر و مسیریاب مد نظر قرار می‌گیرند و بهترین مسیر و مسیریاب با توازن بار مطلوب برای جریان‌های اطلاعات با کمترین زمان انتخاب می‌شوند. یکی از مزایای بارز این روش، امکان انجام توازن بار به صورت خودکار و بدون نیاز به مداخله انسان است. نتایج تجربی نشان می‌دهد که روش پیشنهادی نسبت به روش‌های دیگر، بهبود قابل توجهی در زمان پاسخ حدود 14.8 درصد را نشان می¬دهد و همچنین توازن بار شبکه‌های نرم‌افزارمحور را حفظ می‌کند. با استفاده از روش پیشنهادی، علاوه بر بهبود کیفیت سرویس و رضایت کاربران، زمان پاسخ نیز بهبود خواهد یافت. به طور خلاصه، روش پیشنهادی به عنوان یک رویکرد قابل استفاده در شبکه‌های نرم‌افزارمحور مطرح است و نسبت به روش‌های موجود برتری دارد.
Software-Defined Networking (SDN) has been recognized as an efficient approach in the field of communication technology, aiming to improve the performance and efficiency of computer networks, thus reducing costs. One of the key challenges in SDN is load balancing among nodes. Solving this challenge leads to improved response time and network performance. Nowadays, various methods have been proposed for load balancing in SDN, but they have not yet reached the ideal state. In this article, a new method is presented to enhance load balancing and reduce response time. This method utilizes multi-objective evolutionary algorithms and fuzzy weighting. In the proposed method, factors such as bandwidth, traffic status, link buffer, and desired router are taken into account, and the best path and router with desired load balancing for information flows are selected with the minimum time. One prominent advantage of this method is the possibility of performing load balancing automatically without the need for human intervention. Experimental results demonstrate that the proposed method shows a significant improvement of approximately 14.8% in response time compared to other methods, while maintaining load balancing in SDNs. By using the proposed method, in addition to improving service quality and user satisfaction, response time will also be enhanced. In summary, the proposed method is introduced as a viable approach in SDNs and exhibits superiority over existing methods.
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