مدیریت منابع و حفظ انسجام در سیستم‌های میکروسرویس با رویکرد بهینه‌سازی هوشمند اجماع

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، دانشکده مهندسی کامپیوتر، دانشگاه آزاد اسلامی، واحد زنجان، زنجان، ایران

2 استادیار، دانشکده مهندسی کامپیوتر، دانشگاه آزاد اسلامی، واحد خدابنده، زنجان، ایران

3 مربی، دانشکده مهندسی کامپیوتر، دانشگاه آزاد اسلامی، واحد زنجان، زنجان، ایران

چکیده

اخیراً معماری‌های میکروسرویس به‌عنوان الگوی غالب طراحی سامانه‌های ابری، مزایای متعدد مانند انعطاف‌پذیری و مقیاس‌پذیری را به ارمغان آورده‌اند، اما در عین حال با چالش‌هایی نظیر تضمین انسجام داده‌ها، مقابله با خرابی گره‌ها و تخصیص بهینه منابع مواجه هستند. در این تحقیق، یک رویکرد اجماع نوین و سازوکار بهینه‌سازی هوشمندی ارائه شده است که با بهره‌گیری از پروتکل اجماع Paxos، به ارتقای عملکرد، تاب‌آوری و پایداری بیشتر سامانه‌های میکروسرویس می‌انجامد. رویکرد پیشنهادی با تأکید بر هماهنگی هوشمند در تغییر وضعیت خدمات، کاهش تأخیر و تخصیص پویای منابع، جایگزینی مؤثر برای راهکارهای سنتی مبتنی بر مدل‌های آماری و تکاملی است. با اجرای آزمایش‌های تجربی در محیط‌های ابری پویا و ارزیابی سناریوهای بارکاری متغیر، مشخص شد که الگوریتم پیشنهادی قادر است با حفظ 9/99% سازگاری با نسخه‌های موجود و 95% تحمل خطا، به میزان ۲۵٪ بهبود در معیار زمان پاسخ، ۳۰٪ بهبود در توان عملیاتی سیستم و ۲۰٪  بهبود در معیار کارایی سراسری سیستم ایجاد نماید. همچنین، مقایسه با رویکردهای موجود نشان داد که ترکیب الگوریتم‌های اجماع با مکانیزم‌های بهینه‌سازی هوشمند و مدیریت مؤثر منابع، امکان‌پذیری دستیابی به عملکرد پایدار در شرایط بارکاری ناپایدار و متغیر ابری را فراهم می‌آورد. این نتایج نشان‌دهنده ظرفیت بالای دیدگاه پیشنهادی برای استفاده در معماری‌های نوین و پیچیده مبتنی بر میکروسرویس است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Intelligent Consensus Optimization Approach Toward Coherent Resource Management in Microservice Systems

نویسندگان [English]

  • Mahdi Bazargani 1
  • Nafiseh Fareghzadeh 2
  • Farzaneh Kabudvand 3
1 Assistant Professor, Department of Computer Engineering, Islamic Azad University, Zanjan, Iran
2 Assistant Professor, Department of Computer Engineering, Islamic Azad University, Zanjan, Iran
3 Department of Computer Engineering, Islamic Azad University, Zanjan Branch, Zanjan
چکیده [English]

Microservice architectures, as the dominant design paradigm for cloud systems, offer several advantages such as flexibility and scalability. However, they face challenges such as ensuring data integrity, dealing with node failures, and optimal resource allocation. In this research, a new approach and intelligent optimization mechanism are proposed that, by utilizing the Paxos consensus protocol, leads to improved performance, resilience, and stability in microservice systems. The proposed approach, emphasizing intelligent coordination in changing service states, reducing latency, and dynamically allocating resources, is an effective alternative to traditional solutions based on statistical models and evolutionary algorithms. Evaluations in dynamic cloud environments with variable workloads present that the proposed approach is capable of providing significant improvements in fundamental metrics such as response time (25%), throughput (30%), efficiency (20%), consistency (99.9%), and fault tolerance (99.8%). Also, comparison with existing frameworks present that combining consensus algorithms with intelligent optimization mechanisms and effective resource management enables achieving stable performance in unstable and variable cloud conditions. These results indicate the high capacity of the proposed approach for utilizing in modern and complex microservice architectures.

کلیدواژه‌ها [English]

  • Paxos consensus protocol
  • Distributed persistence
  • Resource management
  • State coordination
  • Microservice architecture
  • Intelligent optimization
  • Dynamic cloud

مراجع

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پژوهش های نظری و کاربردی هوش ماشینی
دوره 3، شماره 1
شهریور 1404
صفحه 145-161

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