Congestion Control in Cloud Computing Network for Load balancing using Portability

Tej. C. Hiremath, J. Mallapur
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Abstract

The major obstacles in cloud usage is its non-flexible attribute with respect to portability of applications and congestion due to enormous usage of cloud applications by users. Customers of cloud computing are unable to access the services offered by one cloud over the other. Applications running on one cloud environment is bound to the ordinance and principles of provisioning of the same. The customers we are referring here are mobile in nature. The non-flexible attribute we are referring here is cloud vendor lock-in. We have proposed a new scheme called Cloud Application Migration Management Model (CAM3) that encompasses service Cloning for flexible and versatile usage. In this scheme, we plan to clone the application proffered by cloud vendor and install in another homogeneous hybrid cloud environment. The service application migrated can be made accessible by Application Re-engineering and Code Re-factoring techniques, thus making the cloud environment elastic and versatile.
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基于可移植性的云计算网络负载均衡拥塞控制
云使用的主要障碍是其在应用程序可移植性方面的不灵活属性,以及由于用户大量使用云应用程序而造成的拥塞。云计算的客户无法访问由一个云提供的服务。在一个云环境上运行的应用程序必须遵守该云环境的供应条例和原则。我们这里所指的客户本质上是移动的。我们在这里提到的非灵活属性是云供应商锁定。我们提出了一个名为云应用程序迁移管理模型(CAM3)的新方案,它包含了服务克隆,以实现灵活和通用的使用。在这个方案中,我们计划克隆云供应商提供的应用程序,并安装在另一个同构混合云环境中。迁移后的服务应用程序可以通过应用程序重新工程和代码重构技术进行访问,从而使云环境具有弹性和通用性。
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