Dealing heavy IoT systems with hybrid cloud platform

Prashant Vaish, N. Anand, Gaurav Sharma
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Abstract

In Today's world, whenever there is talk about Cloud computing, there is always an assumption of a scalable and secure platform that can provide stability at a low price. No matter which vendor one chooses, expectations are to manage the workload dynamically with high performance and efficient costing. Talking about large IoT systems, hosting them over a single cloud never solves the purpose of workload utilization and cost and thus exploits the computing over the cloud. Since IoT is covering almost every industry around the globe without any geographic limitations and even in space, it is often becoming very hard to cover the cost as well as manage resources with the right utilization in any framework or architecture. In this paper, we have built these gaps and challenges by proposing a Hybrid cloud model that can check the requirements of different IoT systems and lay down these functions over multiple clouds based on predefined policies. These requirements are nothing but business requirements from business holders about resource prices and concepts. The Hybrid cloud model fetches the state of these different clouds and assigns the requirements to the most appropriate cloud. As a result of this hybrid model, there is a major increase in stability and utilization with effective cost.
使用混合云平台处理重型物联网系统
在当今世界,每当谈到云计算时,总会假设有一个可扩展且安全的平台,可以以低廉的价格提供稳定性。无论选择哪个供应商,期望都是通过高性能和高效成本来动态管理工作负载。谈到大型物联网系统,在单个云上托管它们永远无法解决工作负载利用率和成本的目的,从而利用云上的计算。由于物联网几乎覆盖了全球所有行业,没有任何地理限制,甚至在空间上也没有任何限制,因此在任何框架或架构中都很难覆盖成本以及正确利用资源来管理资源。在本文中,我们通过提出一种混合云模型来构建这些差距和挑战,该模型可以检查不同物联网系统的需求,并根据预定义的策略在多个云中设置这些功能。这些需求只不过是业务所有者对资源价格和概念的业务需求。混合云模型获取这些不同云的状态,并将需求分配给最合适的云。由于这种混合模式,稳定性和利用率大大提高,成本有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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