کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6900101 | 1446486 | 2018 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Virtual Machine Classification-based Approach to Enhanced Workload Balancing for Cloud Computing Applications
ترجمه فارسی عنوان
مدل ماشین مجازی مبتنی بر طبقه بندی مبتنی بر بهبود تعادل کار برای برنامه های ابر رایانه
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
چکیده انگلیسی
Despite the many researches that have been conducted in the field of Cloud computing, it is still facing some issues and challenges, such as load balancing which still needs more optimizing methodologies and models to improve performance and achieve high user satisfaction. In this paper, Machine Learning Technique, which is classification, is used to make groups of VMs based on their CPU and RAM utilization, as well as to classify user jobs/tasks into different groups based on their sizes and based on information from log files. The approach arranges virtual machines in groups, and several tasks share the same VM resources. The goal of our proposal is to allow more dynamic resources and to improve the QoS requirements by maximizing the usage of the resources and user satisfaction, such as increasing resource utilization and reducing the number of job rejections.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 130, 2018, Pages 683-688
Journal: Procedia Computer Science - Volume 130, 2018, Pages 683-688
نویسندگان
Mousa Elrotub, Abdelouahed Gherbi,