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Deadline-credit aware heuristic for dynamic resource provisioning in virtualised cloud environment

机译:在虚拟化云环境中进行动态资源预配置的截止期限信用启发式

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摘要

Cloud computing as a paradigm has led to its adoption in large-scale parallel processing and distributed computing. Resource selection places momentous challenges before consumers and service providers. As a remedy brokers stipulates resource provisioning options to match the submitted requests by facilitating a standardised management interface across global boundaries. Keeping in consideration, a DSufferage algorithm is proposed and implemented at platform level which is an improvisation in the existing sufferage heuristic. Deadline parameter has been inculcated to assign precedence levels to the jobs to be submitted to the machines. The novelty of the current research study is that the heuristic is centred towards both user and providers goals. The efficacy of the algorithm has been verified using CloudSim tool and is concluded that it is proficient enough to allocate resources to users tasks with in constraints of deadline, resource utilisation maximisation and SLA violation avoidance.
机译:云计算作为范例已导致其在大规模并行处理和分布式计算中得到采用。资源选择给消费者和服务提供商带来了巨大的挑战。作为补救措施,经纪人规定了资源供应选项,以通过促进跨全球边界的标准化管理界面来匹配提交的请求。考虑到这一点,提出了DSufferage算法,并在平台级别上实现了该算法,这是对现有患者启发式算法的一种即兴创作。已安装了Deadline参数,以为要提交给计算机的作业分配优先级。当前研究的新颖之处在于启发式方法既针对用户目标,又针对提供商目标。使用CloudSim工具验证了该算法的有效性,得出的结论是,该算法足够有效,可以在期限,资源利用率最大化和避免违反SLA的约束下向用户任务分配资源。

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