Unsupervised learning approach for web application auto-decomposition into microservices
المؤلف | Abdullah M. |
المؤلف | Iqbal W. |
المؤلف | Erradi A. |
تاريخ الإتاحة | 2020-04-02T11:08:04Z |
تاريخ النشر | 2019 |
اسم المنشور | Journal of Systems and Software |
المصدر | Scopus |
الرقم المعياري الدولي للكتاب | 1641212 |
الملخص | Nowadays, large monolithic web applications are manually decomposed into microservices for many reasons including adopting a modern architecture to ease maintenance and increase reusability. However, the existing approaches to refactor a monolithic application do not inherently consider the application scalability and performance. We devise a novel method to automatically decompose a monolithic application into microservices to improve the application scalability and performance. Our proposed decomposition method is based on a black-box approach that uses the application access logs and an unsupervised machine-learning method to auto-decompose the application into microservices mapped to URL partitions having similar performance and resource requirements. In particular, we propose a complete automated system to decompose an application into microservices, deploy the microservices using appropriate resources, and auto-scale the microservices to maintain the desired response time. We evaluate the proposed system using real web applications on a public cloud infrastructure. The experimental evaluation shows an improved performance of the auto-created microservices compared with the monolithic version of the application and the manually created microservices. |
راعي المشروع | This work was made possible by NPRP grant # 7-481-1-088 from the [Qatar National Research Fund] a member of Qatar Foundation). |
اللغة | en |
الناشر | Elsevier Inc. |
الموضوع | Application decomposition Cloud computing Microservices Scalability Web applications |
النوع | Article |
الصفحات | 243-257 |
رقم المجلد | 151 |
تحقق من خيارات الوصول
الملفات في هذه التسجيلة
الملفات | الحجم | الصيغة | العرض |
---|---|---|---|
لا توجد ملفات لها صلة بهذه التسجيلة. |
هذه التسجيلة تظهر في المجموعات التالية
-
علوم وهندسة الحاسب [2426 items ]