Enhancement of cloud performance metrics using dynamic degree memory balanced allocation algorithm

In cloud computing, load balancing among the resources is required to schedule a task, which key challenge. This paper proposes dynamic degree memory balanced allocation (D2MBA) algorithm allocate virtual machine (VM) best suitable host, based on availability of random-access (RAM) and microprocessor without interlocked pipelined stages (MIPS) host task VM by considering condition VM. The proposed D2MBA has been simulated using simulation tool CloudSim varying number tasks keeping VMs constant vice versa. compared with other algorithms viz. Round Robin (RR) balance central processing unit (CPU) (D2B_CPU based) respect performance parameters such as execution cost, imbalance makespan time. It found that large reduction in time RR D2B CPU