ABSTRACT

Nowadays, high energy amount is being wasted by computing servers and personal electronic devices, which produce a high amount of carbon dioxide. Thus, it is required to decrease energy usage and pollution. Many applications are utilised by green computing to save energy. Scheduling of tasks acts as an important process to reach the mentioned goals. It is worth stating that the vital characteristic of task scheduling in green clouds is the load balancing of tasks on virtual machines. Efficient load balancing moves tasks from overloaded to underloaded virtual machines to maintain the Quality of Service (QoS). This issue is an NP-complete problem, so this research suggests a new technique based on the behavioural structure of artificial bee behaviour. This method aims to improve QoS while lowering energy usage in green computing. In addition, the honey bees are considered the removed tasks from overloaded virtual machines and a candidate for migrating selected tasks with the lowest priority. The CloudSim testing findings demonstrate that the technique is successful in QoS, makespan, and energy usage compared to other ways.

摘要

如今，计算服务器和个人电子设备正在浪费大量能源，这些设备会产生大量二氧化碳。因此，需要减少能源使用和污染。绿色计算利用许多应用程序来节省能源。任务调度是实现上述目标的重要过程。值得一提的是，绿云任务调度的重要特征是任务在虚拟机上的负载均衡。高效的负载平衡将任务从过载的虚拟机转移到负载不足的虚拟机，以保持服务质量 (QoS)。这个问题是一个 NP 完全问题，因此这项研究提出了一种基于人工蜜蜂行为的行为结构的新技术。该方法旨在提高 QoS，同时降低绿色计算中的能源使用。此外，蜜蜂被认为是从过载的虚拟机中删除的任务，并且是迁移具有最低优先级的选定任务的候选者。CloudSim 测试结果表明，与其他方法相比，该技术在 QoS、完工时间和能源使用方面是成功的。