Convinient Load Balancing by Dynamic Memory Allocation for Cloud Computing Model in Virtual Machines

Abstract

In this paper, a dynamic resource allocation technique for cloud computing is proposed. Instead of using local servers or computer hard drives, cloud computing uses remote servers hosted on the internet to store and access data and programs. The three service models offered by cloud computing are IAAS (Infrastructure as a Service), PAAS (Platform as a Service), and SAAS (Software as a Service). Cloud computing is also known as International Computing. Hardware as a Service (HAAS) is another name for IAAS. It is an internet-managed computing infrastructure. Users can avoid the expense and complexity of buying and maintaining real servers by using IAAS models. Providing mechanisms for effective resource management is a key goal of cloud computing in the future. We present a novel approach in this paper called dynamic scheduling and consolidation mechanism, which distributes resources according to the demand of virtual machines (VMs) on infrastructure as a service (IAAS).With the use of this technique, users can add, remove, or modify instances dynamically based on user- specified conditions and load. Our goal is to create a virtual machine monitoring- based load balancing algorithm that maximizes or minimizes various performance parameters (such throughput) for clouds of varying sizes.