School of Computer Science, University of Petroleum and Energy Studies, Dehradun 248001, India.
Computer Science & Engineering, Shivalik Group of Collegers, Dehradun 248001, India.
Comput Intell Neurosci. 2022 Aug 28;2022:7855532. doi: 10.1155/2022/7855532. eCollection 2022.
Cloud computing is a procedure of stockpiling as well as retrieval of data or computer services over the Internet that allows all its users to remotely access the data centers. Cloud computing provides all required services to the users, but every platform has its share of pros and cons, and another major problem in the cloud is task scheduling or workflow scheduling. Multiple factors are becoming a challenge for scheduling in cloud computing namely the heterogeneity of resources, tasks, and user priority. User priority has been encountered as the most challenging problem during the last decade as the number of users is increasing worldwide. This issue has been resolved by an advanced encryption standard (AES) algorithm, which decreases the response time and execution delay of the user-request. There are multifarious tasks, for instance, deploying the data on the cloud, that will be executed according to first come first serve (FCFS) and not on the payment basis, which provides an ease to the users. These investigated techniques are 30.21%, 25.20%, 25.30%, 30.25%, 24.26%, and 36.9 8% improved in comparison with the traditional FFOA, DE, ABC, PSO, GA, and ETC, respectively. Moreover, during iteration number 5, this approach is 15.20%, 20.22%, 30.56%, 26.30%, and 36.23% improved than that of the traditional techniques FFOA, DE, ABC, PSO, GA, and ETC, respectively. This investigated method is more efficient and applicable in certain arenas where user priority is the primary concern and can offer all the required services to the users without any interruption.
云计算是一种通过互联网存储和检索数据或计算机服务的过程，它允许所有用户远程访问数据中心。云计算为用户提供所有必需的服务，但每个平台都有其优缺点，而云计算中的另一个主要问题是任务调度或工作流调度。在云计算中，资源、任务和用户优先级的异构性等多个因素正在成为调度的挑战。用户优先级在过去十年中一直是一个极具挑战性的问题，因为全球用户数量不断增加。这个问题已经通过高级加密标准（AES）算法得到解决，该算法减少了用户请求的响应时间和执行延迟。有许多任务，例如将数据部署到云上，将根据先来先服务（FCFS）的原则执行，而不是基于支付的原则，这为用户提供了便利。与传统的 FFOA、DE、ABC、PSO、GA 和 ETC 相比，这些经过研究的技术分别提高了 30.21%、25.20%、25.30%、30.25%、24.26%和 36.98%。此外，在迭代次数为 5 时，与传统的 FFOA、DE、ABC、PSO、GA 和 ETC 相比，该方法分别提高了 15.20%、20.22%、30.56%、26.30%和 36.23%。与传统技术相比，这种被调查的方法更有效，在用户优先级是首要考虑因素的某些领域更适用，并且可以在不中断的情况下为用户提供所有所需的服务。
