A Reinforcement Learning Based Auto-Scaling Approach for SaaS Providers in Dynamic Cloud Environment
المؤلفون المشاركون
Pan, Li
Meng, Xiangxu
Wei, Yi
Kudenko, Daniel
Liu, Shijun
Wu, Lei
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-02-03
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Cloud computing is an emerging paradigm which provides a flexible and diversified trading market for Infrastructure-as-a-Service (IaaS) providers, Software-as-a-Service (SaaS) providers, and cloud-based application customers.
Taking the perspective of SaaS providers, they offer various SaaS services using rental cloud resources supplied by IaaS providers to their end users.
In order to maximize their utility, the best behavioural strategy is to reduce renting expenses as much as possible while providing sufficient processing capacity to meet customer demands.
In reality, public IaaS providers such as Amazon offer different types of virtual machine (VM) instances with different pricing models.
Moreover, service requests from customers always change as time goes by.
In such heterogeneous and changing environments, how to realize application auto-scaling becomes increasingly significant for SaaS providers.
In this paper, we first formulate this problem and then propose a Q-learning based self-adaptive renting plan generation approach to help SaaS providers make efficient IaaS facilities adjustment decisions dynamically.
Through a series of experiments and simulation, we evaluate the auto-scaling approach under different market conditions and compare it with two other resource allocation strategies.
Experimental results show that our approach could automatically generate optimal renting policies for the SaaS provider in the long run.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wei, Yi& Kudenko, Daniel& Liu, Shijun& Pan, Li& Wu, Lei& Meng, Xiangxu. 2019. A Reinforcement Learning Based Auto-Scaling Approach for SaaS Providers in Dynamic Cloud Environment. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1195938
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wei, Yi…[et al.]. A Reinforcement Learning Based Auto-Scaling Approach for SaaS Providers in Dynamic Cloud Environment. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1195938
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wei, Yi& Kudenko, Daniel& Liu, Shijun& Pan, Li& Wu, Lei& Meng, Xiangxu. A Reinforcement Learning Based Auto-Scaling Approach for SaaS Providers in Dynamic Cloud Environment. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1195938
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1195938
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر