دانلود مقاله ISI انگلیسی شماره 74121
ترجمه فارسی عنوان مقاله

انتخاب سرویس ابری پویا با استفاده از یک مکانیزم یادگیری انطباقی در رایانش چند ابر

عنوان انگلیسی
Dynamic cloud service selection using an adaptive learning mechanism in multi-cloud computing
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
74121 2015 16 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Systems and Software, Volume 100, February 2015, Pages 195–210

ترجمه کلمات کلیدی
انتخاب سرویس ابری پویا - کارگزار سرویس ابری؛ مکانیسم یادگیری انطباقی
کلمات کلیدی انگلیسی
Dynamic cloud service selection; Cloud service broker; Adaptive learning mechanism
پیش نمایش مقاله
پیش نمایش مقاله  انتخاب سرویس ابری پویا با استفاده از یک مکانیزم یادگیری انطباقی در رایانش چند ابر

چکیده انگلیسی

Cloud service selection in a multi-cloud computing environment is receiving more and more attentions. There is an abundance of emerging cloud service resources that makes it hard for users to select the better services for their applications in a changing multi-cloud environment, especially for online real time applications. To assist users to efficiently select their preferred cloud services, a cloud service selection model adopting the cloud service brokers is given, and based on this model, a dynamic cloud service selection strategy named DCS is put forward. In the process of selecting services, each cloud service broker manages some clustered cloud services, and performs the DCS strategy whose core is an adaptive learning mechanism that comprises the incentive, forgetting and degenerate functions. The mechanism is devised to dynamically optimize the cloud service selection and to return the best service result to the user. Correspondingly, a set of dynamic cloud service selection algorithms are presented in this paper to implement our mechanism. The results of the simulation experiments show that our strategy has better overall performance and efficiency in acquiring high quality service solutions at a lower computing cost than existing relevant approaches.