A hierarchical decentralized architecture to enable adaptive scalable virtual machine migration

Cloud computing is an established paradigm for end users to access resources. infrastructure providers seek maximize accepted requests, meet Service Level Agreements (SLAs), and reduce operational costs by dynamically allocating Virtual Machines (VMs) physical nodes. Many solutions have been presented manage cloud infrastructure, however, these tend be centralized suffer in their ability maintain Quality of (QOS) support data centers with thousands Decentralized approaches, no central management, can large centers. However, the obtain optimal resource allocation across center. To address this, we propose a hybrid hierarchical decentralized architecture that achieves lower SLA violations lowers network traffic. We used simulation evaluate our proposal practice variety existing VM placement policies.