Multi-Criteria Virtual Machine Placement in Cloud Computing Environments: A Literature Review

Cloud computing is a set of innovative and powerful technologies that have completely rethought networks' design and operation. It provides an excellent resiliency level since virtual machines (VMs) run workloads elastically on physical hosts. The placement of VMs in cloud systems is a significant issue that has been thoroughly investigated, although not yet entirely resolved. This paper presents a systematic literature review of VM placement in cloud environment using SPAR 4 SLR protocol. We use VOSViewer tool for bibliometric performance and intellectual structure (i.e., thematic performance). As a result, nine clusters were identified based on co-occurence keyword performance. These clusters shed light on the various algorithms and techniques employed to address VM placement challenges. These techniques are employed to achieve diverse optimization objectives, including maximizing performance, minimizing energy consumption, maximizing resource utilization, minimizing cost, enhancing security, and ensuring quality of service (QoS).