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Broker-based resource management in dynamic multi-cloud environment

机译:动态多云环境中基于经纪的资源管理

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摘要

Cloud computing is being largely embraced by small, medium and large business organisations to host interactive web-based applications, as they provide unlimited services compared with the classical computing approach. However, providing uninterrupted service at an economical price with efficient utilisation of resources is the challenge faced by cloud service providers especially in serving users spread across the globe. Services from many different clouds can be reaped to address resource availability issues and impart the desired QoS. This paper presents a resource management approach for deploying three-tier applications over a broker-based multi-cloud environment. Strategies for quick cloud site selection, dynamic resource adaptation, and two-level load balancing with high availability are considered as part of this approach. Experiments are carried out on an extended cloudsim simulator using realistic session workloads that are synthesised based on different statistical distributions. Performance evaluation of the approach reveals that these strategies lead to improved resource utilisation, throughput and compliance with SLA even under varying workload scenarios.
机译:云计算在很大程度上被小型,中型和大型业务组织归因于托管基于Web的应用程序,因为与经典计算方法相比,它们提供无限服务。然而,以经济的价格提供不间断的服务,以有效利用资源是云服务提供商面临的挑战,特别是在为全球传播的用户提供服务。可以获得许多不同云的服务来解决资源可用性问题并赋予所需的QoS。本文介绍了在基于经纪的多云环境下部署三层应用程序的资源管理方法。快速云站点选择,动态资源适应和具有高可用性的双级负载平衡的策略被认为是此方法的一部分。使用基于不同统计分布合成的现实会话工作负载在扩展CloudSIM模拟器上进行实验。这种方法的性能评估表明,即使在不同的工作量方案下,这些策略也会提高资源利用率,吞吐量和遵守SLA。

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