DrbCF: A Differentiated Ratio-Based Approach to Job Scheduling in Cloud Federation

Phuong Nguyen, N. Thoai
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引用次数: 1

Abstract

The utilization and flexibility of using resource embrace each organization builds its own private cloud. Cloud Federation is a recent paradigm that helps deal with both physical resources under-utilization and resource limitation in their local infrastructure. Due to the management separation, we are interested in self-sufficiency approach in discovering and matchmaking to establish the federation with other clouds. We leverage event-based design helps communicate over sites to enable negotiate scheduling between among providers. We propose decentralized broker supporting differentiated ratio-base job scheduling (DrbCF) to manage send/receive workload. Our evaluation shows the ability to accept new small capacity member and improve overall federation throughput with the differentiated rate approximately 14-16%. DrbCF is a useful tool supporting the differentiated capacity sites as well as the dynamic of interconnect structure under cloud circumstance.
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DrbCF:一种基于差异化比率的云联合作业调度方法
利用资源的利用率和灵活性包括每个组织构建自己的私有云。Cloud Federation是最近的一个范例,它可以帮助处理本地基础设施中物理资源利用率不足和资源限制的问题。由于管理分离,我们对自给自足的方式感兴趣,在发现和配对中建立与其他云的联盟。我们利用基于事件的设计帮助在站点上进行通信,以便在提供者之间协商调度。我们提出分散式代理支持基于差别化比率的作业调度(DrbCF)来管理发送/接收工作负载。我们的评估显示,能够接受新的小容量成员,并以大约14-16%的差异率提高总体联邦吞吐量。DrbCF是一种支持云环境下不同容量站点和互联结构动态的有用工具。
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