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Preemptable priority based dynamic resource allocation in cloud computing with fault tolerance

机译:容错的云计算中基于可抢占优先级的动态资源分配

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Today, cloud computing serves as a request response model, where a client makes request for various available services on ¿¿¿pay as you go basis¿¿¿. Cloud computing offers a dynamic flexible resource allocation phenomenon. For reliable and guaranteed services there must be a scheduling mechanism that all resources are efficiently allocated to satisfy the customer's request. Cloud services are based on scalability, availability, security and fault tolerance features. Service provisioning in cloud is based on SLA. Service level agreement is the terms of cloud provider's contracts with customers to define the level(s) of service being sold in plain language terms. QoS (quality of service) plays important role in cloud environment. Resource scheduling and service deployment is done by considering multiple SLA parameters like CPU requirement, network bandwidth, memory and storage. In this paper we propose an algorithm which perform resource preemption from low priority task to high priority task and advanced reservation for resources considering multiple SLA parameters for deploying service. This algorithm is also effective for fault tolerance mechanism.
机译:如今,云计算已成为一种请求响应模型,在该模型中,客户端以“随用随付”为基础,请求各种可用服务。云计算提供了动态灵活的资源分配现象。为了获得可靠和有保证的服务,必须有一种调度机制,可以有效地分配所有资源以满足客户的需求。云服务基于可扩展性,可用性,安全性和容错功能。云中的服务供应基于SLA。服务级别协议是云提供商与客户签订的合同的条款,用于定义以简单语言术语出售的服务级别。 QoS(服务质量)在云环境中起着重要作用。通过考虑多个SLA参数(例如CPU要求,网络带宽,内存和存储)来完成资源调度和服务部署。在本文中,我们提出了一种算法,该算法执行从低优先级任务到高优先级任务的资源抢占,并考虑用于部署服务的多个SLA参数对资源进行高级预留。该算法对于容错机制也是有效的。

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