طراحی یک کنترل‌کننده هوشمند اضافه بار جهت استفاده در شبکه‌های نسل آینده
محورهای موضوعی : مهندسی برق و کامپیوتر
مهدی خزائی
1
(دانشگاه صنعتی کرمانشاه،گروه مهندسی كامپیوتر)
کلید واژه: IMS, SIP, كنترل اضافه بار, سیستم‌های چندعامله,
چکیده مقاله :
SIP به عنوان پروتكل سیگنالینگ برای زیرسیستم‌های مبتنی برIP (IMS) در نظر گرفته شده و از طرفی IMS به عنوان پلتفرم شبكه‌های نسل آینده معرفی گردیده است. SIP برخلاف ویژگی‌های مثبتی مانند مبتنی بر متن، مبتنی بر IP، مستقل از داده انتقالی، پشتیبانی از جابه‌جایی و انتها به انتها بودن، فاقد مكانیزم مناسبی در مواجه با اضافه بار می‌باشد. از این رو، این چالش باعث خواهد شد كه كاربران گسترده شبكه‌های نسل آینده با افت شدید كیفیت در خدمات مواجه شوند. IMS توزیع‌شده، یك شبكه پیچیده محسوب می‌گردد كه متشكل از زیرسیستم‌هایی است كه با یكدیگر در فعل و انفعال می‌باشند. در نتیجه، سیستم‌های چندعامله می‌توانند ابزار مناسبی برای حل مشكل اضافه بار در این شبكه باشند. به این منظور، هر سرور IMS به عنوان یک عامل هوشمند در نظر گرفته می‌شود که با حفظ خودمختاری، قابلیت یادگیری و مذاکره با بقیه عامل‌ها را داراست تا اضافه بار توسط ارتباطات و دانش جابه‌جاشده در بین عامل‌ها رفع گردد. در این مقاله، به واسطه سیستم‌های چندعامله و خواص آنها، روش گام به گام مبتنی بر حذف ارائه گردیده که نتایج شبیه‌سازی و مقایسه با روش معروف ارائه‌شده قبلی، بهبود كارایی را نشان می‌دهد
SIP is considered as a signaling protocol for IP multimedia subsystem (IMS) and IMS is introduced as the next generation networking platform. Unlike positive features such as text-based, IP-based, data-independent, support mobility and end-to-end, SIP lacks a proper overload control mechanism. Hence, this challenge will cause the widespread users of next generation networks to loss quality of service. IMS is a complex network consisting of subsystems, interacting with each other. As a result, multi-agent systems can be a useful tool to solve the IMS overload. Therefore, each IMS server is considered as an intelligent agent with learning and negotiation ability with other agents while maintaining autonomy therefore, the overload is eliminated by communication and knowledge transferred between agents. In this paper, multi-agent system and their properties presents a hop-by-hop elimination-based method which simulation results show performance improvement compared to known methods.
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