A Two-Step Technique for Effective Scheduling in Cloud–Fog Computing Paradigm
A Two-Step Technique for Effective Scheduling in Cloud–Fog Computing Paradigm
复制标题
云雾计算范式中有效调度的两步技术
DOI：
10.1007/978-981-15-1275-9_30
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
K. Tripathi
中科院分区：
文献类型：
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作者：
A. Yadav;S. Sharma;K. Tripathi
众所周知，物联网应用正在为人们的日常生活提供便利，但当它与云计算结合时，物联网小工具和云计算基础设施之间的距离受到限制，这就提出了“云计算”和雾计算相结合的新型分布式计算环境的想法。 “雾计算”主要可以用来最小化传输延迟（latency）和云资产的使用成本，因为云计算帮助我们将复杂、庞大、繁重的任务卸载到云端。在这里，通过本文，我们展示了一项关于每当我们在这种环境中调度应用程序时云成本和完工时间之间的权衡的研究。我们提供了一种称为 BAS 的算法来对应用程序进行排序，并在性能和云使用成本之间取得平衡。通过模拟结果，我们表明，与一些同行方法相比，我们提出的方法效果更好。
As we know the Internet of Things applications are emerging as a helping hand for the ease of mankind in day-to-day life but when it clubs with cloud computing comes up with the limitation of far distance among Internet of Things gadgets and cloud computing infrastructure which gives an idea to work with a new distributed computing environment with the combination of “cloud computing” and fog computing. “Fog computing” majorly can be used to minimize the transmission delay (latency) and the cost for use of cloud assets as cloud computing helps us to use the complex, large, and heavy tasks to be offloaded on cloud. Here, with this article, we are showing a study for the trade-off between cloud cost and makespan whenever we are scheduling applications in such a kind of environment. We give an algorithm called BAS to sequence applications with the balance between performance and cost of cloud usage. With the simulated results, we have shown that our proposed method is working better compared to some peer methods.