机译:云中科学工作流异构任务的安全性和成本意识调度算法
State Key Laboratory for Novel Software Technology, Software Institute, Nanjing University, 210093, China;
State Key Laboratory for Novel Software Technology, Software Institute, Nanjing University, 210093, China,State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China;
Centre for Creative Computing (CCC), Bath Spa University, England, UK;
Department of Computer Science and Engineering, Southern Methodist University, Dallas, TX, 75275-0122, USA;
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China;
State Key Laboratory for Novel Software Technology, Software Institute, Nanjing University, 210093, China;
State Key Laboratory for Novel Software Technology, Software Institute, Nanjing University, 210093, China;
Scientific workflow scheduling; Cloud computing; Big data application; Security awareness; Particle swarm optimization (PSO); Deadline constraint;
机译:ECOS:一种高效的基于任务聚类的具有成本效益的调度算法,用于在异构云系统上执行科学的工作流
机译:预算感知调度算法,用于科学工作流程,随机任务权重为基础设施作为服务云平台
机译:考虑云计算的截止日期和成本感知科学工作流程的基于物联网的任务调度优化方案
机译:异构IaaS云平台上具有随机任务权重的科学工作流的预算感知调度算法
机译:在云环境中进行高效的科学工作流程调度。
机译:使用改进的PSO算法在云计算环境中进行癌症诊断表基因组学科学工作流程调度
机译:基于IOS的任务调度优化方案,考虑云计算的截止日期和成本感知科学工作流程