Fractional Artificial Bee Chicken Swarm Optimization technique for QoS aware virtual machine placement in cloud

Cloud computing provides different constructive services in order to share huge scale information, computing resources, storage resources, and offer research knowledge. Cloud Service Providers (CSPs) afforded its services to cloud customers, usually in structure of Virtual Machines (VMs). In this paper, Fractional Artificial Bee Chicken Swarm Optimization (Fractional ABCSO) is introduced for VM placement in the cloud. The Fractional ABCSO is obtained by integrating the Fractional concept (FC), Chicken Swarm Optimization (CSO), and Artificial Bee Colony (ABC). Here, the cloud simulation is performed by means of VM and physical machine (PM). At first, VM placement is carried out using different system factors, such as Central Processing Unit (CPU), Million Instructions per Second (MIPS), bandwidth, migration cost, memory, frequency, power, along with Quality of Service (QoS). The developed Fractional ABCSO algorithm outperformed other existing techniques with regard to load, migration cost, and power consumption of 0.1614, 0.0535, and 0.0408.