...
首页> 外文期刊>Journal of Theoretical and Applied Information Technology >A NOVEL SCALE APPROACH FOR LOAD BALANCING WITH HARDWARE AND SOFTWARE IN CLOUD AND IOT PLATFORM
【24h】

A NOVEL SCALE APPROACH FOR LOAD BALANCING WITH HARDWARE AND SOFTWARE IN CLOUD AND IOT PLATFORM

机译:在云和物联网平台上使用硬件和软件进行负载平衡的新型规模方法

获取原文
   

获取外文期刊封面封底 >>

       

摘要

In the current scenarios cloud computing is most talked innovation which offers resources from the extensive server farms. The fundamental motivation behind cloud computing is to enable customers to take the favourable position from these advancements. Cloud computing is made accessible as compensation on interest administration to the customers. Cloud administrations are "pay-per-use" over the web. It has numerous highlights that incorporate estimated administrations, accessibility, security and scalability. Among all the most and energizing component of distributed computing is Scalability which offers the customers the straightforwardness and solace to utilize the resources according to their desires and request. Versatility system could really compare to whatever else. Resources can be scaled in and scaled out when the interest and circumstance emerges that way. It may be static or dynamic in nature. In this paper, we proposed a scalability mechanism for load balancing to recourse management policies in the cloud computing. We check our proposed mechanism with the different parameters likes scalability model, measurement of bad detections, Performance heuristics, Diagnose of the Performance, production area and scalability area. We also make the various comparisons between different kinds of results. After that we simulate the results in the cloudsim and get the optimized results with the help of appropriate examples.
机译:在当前情况下,云计算是最受关注的创新,它提供了来自广泛服务器场的资源。云计算背后的根本动机是使客户能够从这些进步中占据有利位置。使云计算可访问,以补偿客户的利息管理。云管理是通过网络“按使用付费”。它具有众多亮点,融合了预计的管理,可访问性,安全性和可伸缩性。分布式计算中最激动人心的组成部分是可扩展性,它为客户提供了根据他们的需求和需求来利用资源的直接性和轻松性。多功能系统确实可以与其他任何东西相比。当兴趣和情况以这种方式出现时,可以扩展和扩展资源。本质上,它可以是静态的或动态的。在本文中,我们提出了一种用于云计算中资源管理策略的负载平衡的可伸缩性机制。我们使用不同的参数(例如可伸缩性模型,错误检测的度量,性能启发式算法,性能诊断,生产区域和可伸缩性区域)来检查我们提出的机制。我们还对不同类型的结果进行了各种比较。之后,我们在cloudim中模拟结果,并借助适当的示例获得优化的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号