دانلود رایگان مقاله کاهش هزینه های تامین منابع با استفاده از نمونه های موقعیت EC2 با مدل های پیش بینی – سال 2019
مشخصات مقاله:
عنوان فارسی مقاله:
کاهش هزینه های تامین منابع با استفاده از نمونه های موقعیت EC2 با مدل های پیش بینی
عنوان انگلیسی مقاله:
Reducing the price of resource provisioning using EC2 spot instances with prediction models
کلمات کلیدی مقاله:
محاسبات ابری، تأمین، نمونه های موقعیت، EC2 آمازون، محدودیت های هزینه
مناسب برای رشته های دانشگاهی زیر:
مهندسی کامپیوتر – مهندسی فناوری اطلاعات
مناسب برای گرایش های دانشگاهی زیر:
رایانش ابری – مهندسی نرم افزار – اینترنت و شبکه های گسترده
وضعیت مقاله انگلیسی و ترجمه:
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فهرست مطالب:
Outline
Highlights
Abstract
Keywords
۱٫ Introduction
۲٫ Technical background: The Amazon EC2 Spot Instances service
۳٫ Related work
۴٫ A framework for the analysis of spot instances
۵٫ Modeling EC2 spot instances provisioning costs
۶٫ Evaluation and experimentation
۷٫ Automatic generation of provisioning plans in Amazon EC2
۸٫ The new amazon EC2 spot pricing model
۹٫ Conclusions
Acknowledgments
References
قسمتی از مقاله انگلیسی:
Abstract
The increasing demand of computing resources has boosted the use of cloud computing providers. This has raised a new dimension in which the connections between resource usage and costs have to be considered from an organizational perspective. As a part of its EC2 service, Amazon introduced spot instances (SI) as a cheap public infrastructure, but at the price of not ensuring reliability of the service. On the Amazon SI model, hired instances can be abruptly terminated by the service provider when necessary. The interface for managing SI is based on a bidding strategy that depends on non-public Amazon pricing strategies, which makes complicated for users to apply any scheduling or resource provisioning strategy based on such (cheaper) resources. Although it is believed that the use of the EC2 SIs infrastructure can reduce costs for final users, a deep review of literature concludes that their characteristics and possibilities have not yet been deeply explored. In this work we present a framework for the analysis of the EC2 SIs infrastructure that uses the price history of such resources in order to classify the SI availability zones and then generate price prediction models adapted to each class. The proposed models are validated through a formal experimentation process. As a result, these models are applied to generate resource provisioning plans that get the optimal price when using the SI infrastructure in a real scenario. Finally, the recent changes that Amazon has introduced in the SI model and how this work can adapt to these changes is discussed.
1. Introduction
The cloud-computing paradigm has changed the traditional way in which software systems are built by means of the introduction of a new model in which infrastructures, platforms, applications and services are served on demand [1]. The consolidation of this new approach in the industry as well as in research and academic environments has arisen the need to reconsider the way technological resources are used in organizations, integrating cloudcomputing along with these resources [2, 3, 4, 5].
