Simcan2Cloud:一个基于离散事件的模拟器,用于建模和模拟云计算基础设施

IF 3.7 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Cloud Computing-Advances Systems and Applications Pub Date : 2023-09-18 DOI:10.1186/s13677-023-00511-w
Pablo C. Cañizares, Alberto Núñez, Adrián Bernal, M. Emilia Cambronero, Adam Barker
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引用次数: 0

摘要

云计算是一种不断发展的范式,其采用在过去几年中一直在增加。这一事实导致了云计算市场的增长,以及对领先市场份额的激烈竞争,以及云服务提供商数量的增加。不断有人提出新的技术来提高云服务提供商的盈利能力。但是,只有那些被证明不会妨碍服务协议的技术才会被考虑用于生产云。分析云基础设施的预期行为和性能具有挑战性,因为大量用户同时访问基础设施,使得这些系统上实验的可重复性和再现性变得困难。除此之外,还必须添加使用不同供应策略、管理多个工作负载和应用不同资源配置的复杂性。因此,为了缓解这些问题,我们提出了Simcan2Cloud,一个基于离散事件的模拟器,用于建模和模拟云计算环境。Simcan2Cloud侧重于建模和模拟具有高水平细节的云提供商的行为,其中云基础设施和用户与云的交互都集成在模拟场景中。为此,Simcan2Cloud支持不同的资源分配策略、服务水平协议(sla),以及用于包含新管理策略的直观而完整的API。最后,提出了一项全面的实验研究,使用真实世界的跟踪和合成工作负载来测量Simcan2Cloud的适用性和适用性。
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Simcan2Cloud: a discrete-event-based simulator for modelling and simulating cloud computing infrastructures
Abstract Cloud computing is an evolving paradigm whose adoption has been increasing over the last few years. This fact has led to the growth of the cloud computing market, together with fierce competition for the leading market share, with an increase in the number of cloud service providers. Novel techniques are continuously being proposed to increase the cloud service provider’s profitability. However, only those techniques that are proven not to hinder the service agreements are considered for production clouds. Analysing the expected behaviour and performance of the cloud infrastructure is challenging, as the repeatability and reproducibility of experiments on these systems are made difficult by the large number of users concurrently accessing the infrastructure. To this, must be added the complications of using different provisioning policies, managing several workloads, and applying different resource configurations. Therefore, in order to alleviate these issues, we present Simcan2Cloud, a discrete-event-based simulator for modelling and simulating cloud computing environments. Simcan2Cloud focuses on modelling and simulating the behaviour of the cloud provider with a high level of detail, where both the cloud infrastructure and the interactions of the users with the cloud are integrated in the simulated scenarios. For this purpose, Simcan2Cloud supports different resource allocation policies, service level agreements (SLAs), and an intuitive and complete API for including new management policies. Finally, a thorough experimental study to measure the suitability and applicability of Simcan2Cloud, using both real-world traces and synthetic workloads, is presented.
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来源期刊
Journal of Cloud Computing-Advances Systems and Applications
Journal of Cloud Computing-Advances Systems and Applications Computer Science-Computer Networks and Communications
CiteScore
6.80
自引率
7.50%
发文量
76
审稿时长
75 days
期刊介绍: The Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA) will publish research articles on all aspects of Cloud Computing. Principally, articles will address topics that are core to Cloud Computing, focusing on the Cloud applications, the Cloud systems, and the advances that will lead to the Clouds of the future. Comprehensive review and survey articles that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant.
期刊最新文献
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