The load balancing (LB) may be used at different levels to reduce overhead for the decision-making process. In the past decade, cloud computing has drawn a lot of attention from both the academic and commercial communities to get demanded resources (machines, platforms, data, storage, software, and so forth) as a service on rent economically. Generally, a situation may arise when requests are not meeting their deadlines and the cloud provider wants to finish the running application in minimum time. In this article, a receiver initiated deadline aware LB strategy (RDLBS2) has been proposed which attempts the migration of incoming cloudlets to appropriate virtual machines (VMs) where the deadlines of the cloudlets are met to optimize the turnaround time by exploiting the remaining processing capacities of VMs. A simulation study has been carried out by using Cloud-Sim as a simulator. A sensitivity analysis has been presented to analyze the effects on performance parameters by varying the number of cloudlets and the number of VMs while keeping the remaining input parameters fixed. The experimental evaluation and analysis suggest that RDLBS2 performs significantly better than its peers on objective parameters almost in all cases under study.

中文翻译：

---

一种基于期限感知的云计算负载均衡策略

负载平衡 (LB) 可用于不同级别以减少决策过程的开销。在过去的十年中，云计算吸引了学术界和商业界的广泛关注，以经济地出租所需的资源（机器、平台、数据、存储、软件等）作为一种服务。通常，当请求未满足其截止日期并且云提供商希望在最短的时间内完成正在运行的应用程序时，可能会出现这种情况。在本文中，已经提出了接收者发起的期限感知 LB 策略 (RDLBS2)，该策略尝试将传入的小云迁移到适当的虚拟机 (VM)，其中满足小云的期限，以通过利用剩余的处理能力来优化周转时间虚拟机。使用 Cloud-Sim 作为模拟器进行了模拟研究。已经提出了敏感性分析，以通过改变小云的数量和 VM 的数量同时保持其余输入参数固定来分析对性能参数的影响。实验评估和分析表明，几乎在所有研究的情况下，RDLBS2 在客观参数上的表现都明显优于同行。