cloud computingtask schedulingdynamic programming 云计算任务调度动态规划Task scheduling is the core issue in cloud computing system, the aim of task scheduling is reasonably distributing tasks to achieve the optimal scheduling scheme and complete tasks efficiently. In this paper, we have firstly analyzed...
Task scheduling has been proved as an NP-complete problem [2], [3]. Cloud computing not just help a decent variety of uses, yet in addition give a virtualized condition for the applications to keep running in an efficient and minimal effort way [4]. A cloud data center usually consists ...
Cloud computing is an extremely important infrastructure used to perform tasks over processing units. Despite its numerous benefits, a cloud platform has several challenges preventing it from carrying out an efficient workflow submission. One of these is linked to task scheduling. An optimization problem...
云计算任务调度算法的分析与实现-analysis and implementation of cloud computing task scheduling algorithm 4.2蚁群算法...224.2.1基本原理...224.2.2算法的相关参数...244.2.3算法流程...254.3云任务调度问题的描述...
Sreenu, K., Sreelatha, M.: W-Scheduler: whale optimization for task scheduling in cloud computing. Clust. Comput. 22(1), 1087–1098 (2019) Article Google Scholar Chen, X., et al.: A woa-based optimization approach for task scheduling in cloud computing systems. IEEE Syst. J. 14(3)...
Cloud computing is an efficient technology to serve the requirement of big data applications. Minimizing the makespan of the cloud system while increasing resource utilization is important to reduce costs. In this case, task scheduling is a challenging task to meet the requirement because it requires...
Cloud computing is the latest emerging trend in distributed computing, where shared resources are provided to end-users in an on demand fashion that brings many advantjuages, including data ubiquity, flexibility of access, high availability of resources, and flexibility. The task scheduling problem ...
Keywords,taskscheduling;cloudcomputing;ParticleSwarmOptimization(PSO)algorithm;double-fitness 摘要,如何对任务进行高效合理的调度是云计算需要解决的关键问题之一,针对云计算的编程模型框架,在传统粒子群优化算法(PSO)的基础上,提出了一种具有双适应度的粒子群算法(DFPSO)。通过该算法不但能找到任务总完成时间较短的调度...
Cloud computing is required by modern technology. Task scheduling and resource allocation are important aspects of cloud computing. This paper proposes a heuristic approach that combines the modified analytic hierarchy process (MAHP), bandwidth aware divisible scheduling (BATS) + BAR optimization, ...
task scheduling method based on model segmentation with the objective of minimizing the completion time of task offloading and maximizing the utilization of computing resources at the edge in a neural network model training. To achieve this objective, factors including delayed task calculation, the ...