Cloud computing has become exceptionally mainstream because of the concentrated development of service demands from organizations. Cloud service providers are constructing new and enlarged data centers to supply services to diverse clients. Data centers use a large quantity of energy to run their systems. And, the vast majority of energy originates from non-renewable sources. It releases a colossal amount of greenhouse gases into the atmosphere. It has a huge detrimental influence on the ecosystem. Efficient management of resources can reduce overall energy consumption (EC). A virtual machine (VM) deployment in physical machines (PMs) may enhance the power efficiency of data centers. However, due to its inverse proportional nature, a decrease in EC may result in a Service Level Agreement Violation (SLAV). Therefore, a novel dynamic bio-inspired VM placement policy (BoIVPP) has been presented in this paper to decrease energy consumption and SLA violations. The Novel Optimized Crow Search Algorithm (NOCSA) propels the proposed BoIVPP. With an effective trade-off between EC and SLAV, the proposed BoIVPP assures the meeting of quality of service (QoS) needs in green cloud computing.
