کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4950238 | 1440642 | 2017 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Predicting provisioning and booting times in a Metal-as-a-service system
ترجمه فارسی عنوان
پیش بینی زمان تهیه و بارگیری در یک سیستم فلز به عنوان یک سرویس
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
چکیده انگلیسی
Cloud management automation and management of SLA incidents become a research challenges for any Cloud service-based system. In the era of ongoing adoption of Cloud Computing at a fast rate the Metal-as-a-service (MaaS) platforms assure a higher level of performance, but at the cost of a more complex provisioning system, all of these being imposed by SLA assurance. More, disaster recovery and critical infrastructure protection become important aspects for any real-time applications that use Cloud Services. This paper deals with the problem of predicting provisioning and booting times in a MaaS system, and proposed a solution based on platform monitoring and a multi-variate regression algorithm. The configuration, provisioning flow, and capacity management capabilities were tested on Bigstep Full Metal Cloud platform an event-based tracking system, based on which provisioning times can be calculated for each individual element. We analyzed the performance of proposed solution by comparing the predicted booting and provisioning times with real times using different scenarios.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 72, July 2017, Pages 180-192
Journal: Future Generation Computer Systems - Volume 72, July 2017, Pages 180-192
نویسندگان
Alexandru Sîrbu, Cristian Pop, Cristina ÅerbÄnescu, Florin Pop,