To facilitate cost-effective and elastic computing benefits to the cloud users, the energy-
efficient and secure allocation of virtual machines (VMs) plays a significant role at the data …

The elasticity of cloud resources allows cloud clients to expand and shrink their demand for
resources dynamically over time. However, fluctuations in the resource demands and pre …

Computing operations such as databases, networks, hardware, programs, analytics, and so
on are all part of the cloud computing service. As such, it may serve as an option to in-house …

In recent times, cloud computing (CC) has rapidly emerged as an effective framework for
offering IT infrastructure, resources, and services on a pay-per-use basis. An extensive …

Cloud resource demands, especially some unclear and emergent resource demands, are
growing rapidly with the development of cloud computing, big data and artificial intelligence …

Virtual machine placement (VMP) is the process of selecting the most appropriate physical
machine (PM) to place users' requested virtual machine (VM) in large cloud data centers …

The primary aim of Virtual Machine Placement (VMP) is the mapping of Virtual Machines
(VMs) to Physical Machines (PMs), such that the PMs may be utilized to their maximum …

With the development of big data and artificial intelligence, cloud resource requests present
more complex features, such as being sudden, arriving in batches and being diverse, which …

This paper proposes a Virtual Machine (VM) failure prediction based intelligent cloud
resource management (FP-IRM) model that estimates failure of VMs proactively and assorts …

Resource optimization is becoming a prime factor in the progress of Internet-based
technology, Cloud Computing. A resource management model is highly required in cloud …