کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4956288 1444449 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Precise contention-aware performance prediction on virtualized multicore system
ترجمه فارسی عنوان
پیش بینی عملکرد دقیق رقابت در سیستم چندرسانه ای مجازی
کلمات کلیدی
چندگانه، ماشین مجازی، مخالفت منابع، پیش بینی عملکرد،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی


- Virtualized multicore contention - aware performance prediction model.
- Virtual machine contention sensitivity and intensity features collection.
- Quantify the precise levels of performance degradation between VMs.

Multicore systems are widely deployed in both the embedded and the high end computing infrastructures. However, traditional virtualization systems can not effectively isolate shared micro architectural resources among virtual machines (VMs) running on multicore systems. CPU and memory intensive VMs contending for these resources will lead to serious performance interference, which makes virtualization systems less efficient and VM performance less stable. In this paper, we propose a contention-aware performance prediction model on the virtualized multicore systems to quantify the performance degradation of VMs. First, we identify the performance interference factors and design synthetic micro-benchmarks to obtain VM's contention sensitivity and intensity features that are correlated with VM performance degradation. Second, based on the contention features, we build VM performance prediction model using machine learning techniques to quantify the precise levels of performance degradation. The proposed model can be used to optimize VM performance on multicore systems. Our experimental results show that the performance prediction model achieves high accuracy and the mean absolute error is 2.83%.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems Architecture - Volume 72, January 2017, Pages 42-50
نویسندگان
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