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首页> 外文会议>2017 International Conference on Advances in Computing, Communication and Control >Optimization of resource and task scheduling in cloud using random forest
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Optimization of resource and task scheduling in cloud using random forest

机译：使用随机森林优化云中的资源和任务调度

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摘要

Cloud computing has evolved in a broad sense due to its availability of services used as a utility. The enterprise organization and common users are freed from buying a software, hardware and applications that incurs a huge investment. The investment of user/organization is reduced by using cloud, allowing pay as you go feature with high end security and reliability of the needs of a user or organization. As more number of users are connecting to cloud it becomes the responsibility of the cloud provider to satisfy the user requests. The request must be fulfilled by minimum cost and execution time along with increasing its own revenue by renting needed resources from the IaaS at a minimum cost. This paper summarizes a detail study of various resource provisioning and task scheduling algorithms and proposes a new approach which uses Random forest algorithm for decision optimization. The paper focuses on reducing the cost paid by the user as well as service provider.
机译：云计算由于其实用程序服务的可用性而在广义上得到了发展。企业组织和普通用户无需购买会带来巨额投资的软件，硬件和应用程序。通过使用云减少了用户/组织的投资，允许按需付费功能具有高端安全性和用户或组织需求的可靠性。随着越来越多的用户连接到云，云提供商有责任满足用户的要求。必须以最小的成本和执行时间来满足请求，并以最小的成本从IaaS租用所需的资源来增加自身的收入。本文总结了各种资源供应和任务调度算法的详细研究，并提出了一种使用随机森林算法进行决策优化的新方法。本文着重于降低用户以及服务提供商支付的成本。

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