Cloud computing (CC) is an attractive emerging technology due to offering services based on-demand by the process of virtualization. Since CC platform offers services based on-demand it has been widely used in the field of various emerging IT infrastructure. In cloud platform each application is run in individual virtual machine (VM) for execution of services within the host. Since cloud platform operates on on-demand service it need to cope with multiple application in single time hence it is necessary to adopt an effective approach for balancing memory utilization in cloud network. For effective utilization of available memory existing approaches uses probability distribution method for allocating resources in cloud platform but still there exists a lack of utilization of available memory in cloud platform. This paper aims to develop an effective approach for dynamic memory allocation in VM in cloud platform. For memory allocation among VM in cloud platform proposed approach uses cloud vertical elasticity manager (CVEM), memory reporter (MR), memory over subscription granter (MOG). The MOG uses a scheduler to allocate the memory in a dynamic way inside a host. Finally, we adopt host elasticity rule to balance the available memory to allocate dynamically the memory inside an available host in cloud.

云计算（CC）是一种有吸引力的新兴技术，因为它可以根据虚拟化过程提供按需提供的服务。由于CC平台按需提供服务，因此已广泛用于各种新兴IT基础架构领域。在云平台中，每个应用程序都在单独的虚拟机（VM）中运行，以在主机内执行服务。由于云平台按需服务运行，因此需要一次处理多个应用程序，因此有必要采用一种有效的方法来平衡云网络中的内存利用率。为了有效利用可用内存，现有方法使用概率分布方法在云平台中分配资源，但是仍然缺乏在云平台中对可用内存的利用。本文旨在为云平台中的虚拟机开发一种有效的动态内存分配方法。对于云平台中VM之间的内存分配，建议的方法使用云垂直弹性管理器（CVEM），内存报告程序（MR），基于订阅的内存授予人（MOG）。MOG使用调度程序以动态方式在主机内部分配内存。最后，我们采用主机弹性规则来平衡可用内存，以动态分配云中可用主机内部的内存。