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引用次数: 2

摘要

由于云计算的快速需求和增长,人们对其进行了频繁的研究。可视化的发展,可以说,未来的技术时代主要取决于云技术。它提供给我们“作为一项服务”的用户请求。它可以是IAAS、SAAS或PAAS。云计算服务提供商(CSP)与客户之间的关系高度依赖于客户使用云服务的效率或顺畅程度,而云计算服务的使用又依赖于强大的云管理能力。其他服务(如数据挖掘)的要求更高,由于云节点上的流量更多,可能会降低速度。这需要通过将作业共享到服务器上合适的云集群来平衡云服务器上的负载。本文综述了分布式计算中现有的堆栈调整方法。
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Analyzing Load on Cloud: A Review
A frequent research in the area of cloud computing is due to its rapid demand and growth. Visualizing the development, it could be said that the upcoming time of technology is mostly depends on cloud technique. It make available to us "as a service" on user request. It could be an IAAS, SAAS or PAAS. The CSP bounding with the customers are highly rely upon how efficiently or smoothly the customers is using the cloud services, which is in succession rely on the powerful cloud managing. Other services, like data mining are more demanding, might worsen the speed due to more traffic on the cloud nodes. This requires the balance of load on cloud server by sharing the job to the suitable cloud cluster on the server. This review paper represents a correlation of existing methods for stack adjusting in distributed computing.
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