Cost-Efficient and Application SLA-Aware Client Side Request Scheduling in an Infrastructure-as-a-Service Cloud
Cost-Efficient and Application SLA-Aware Client Side Request Scheduling in an Infrastructure-as-a-Service Cloud
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基础设施即服务云中经济高效且具有应用程序 SLA 感知能力的客户端请求调度
DOI：
10.1109/cloud.2012.21
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
S. Dustdar
中科院分区：
文献类型：
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作者：
P. Leitner;W. Hummer;B. Satzger;Christian Inzinger;S. Dustdar
部署在云结构即服务云中的应用程序的提供商永远面临着这样一个决定：向上扩展是否更具成本效益（即，从云租用更多资源）或延迟传入请求，即使这样做可能会导致客户不满意和服务级别协议破裂。由于并非所有客户都具有相同的协议，并且并非所有请求都需要投入相同数量的资源，因此该决策变得更加复杂。在本文中，我们提出了一种方法，用于优化调度传入的请求，在云中的虚拟计算资源，使支付的资源和服务水平协议违反所造成的损失的总和最小化。我们讨论我们的方法基于一个说明性的用例。此外，我们提出了一个数值评估的基础上，现实生活中的请求数据，这表明我们的协议感知算法改进了早期的工作，它不考虑服务水平协议。
Providers of applications deployed in an Infrastructure-as-a-Service cloud permanently face the decision of whether it is more cost-efficient to scale up(i.e., rent more resources from the cloud) or to delay incoming requests, even though doing so may lead to dissatisfied customers and broken service level agreements. This decision is further complicated by the fact that not all customers have the same agreements, and not all requests require the same amount of resources devoted to them. In this paper, we present an approach for optimally scheduling incoming requests to virtual computing resources in the cloud, so that the sum of payments for resources and loss incurred by service level agreement violations is minimized. We discuss our approach based on an illustrative use case. Furthermore, we present a numerical evaluation based on real-life request data, which shows that our agreement-aware algorithm improves upon earlier work, which does not take service level agreements into account.
DOI：
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发表时间：
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期刊：
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影响因子：
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作者：
R. Buyya;Shin Chee;Yeo;S. Venugopal;J. Broberg;I. Brandić
通讯作者：
R. Buyya;Shin Chee;Yeo;S. Venugopal;J. Broberg;I. Brandić