Abstract
Efforts were exerted to enhance the live virtual machines (VMs) migration, including performance improvements of the live migration of services to the cloud. The VMs empower the cloud users to store relevant data and resources. However, the utilization of servers has increased significantly because of the virtualization of computer systems, leading to a rise in power consumption and storage requirements by data centers, and thereby the running costs. Data center migration technologies are used to reduce risk, minimize downtime, and streamline and accelerate the data center move process. Indeed, several parameters, such as non-network overheads and downtime adjustment, may impact the live migration time and server downtime to a large extent. By virtualizing the network resources, the infrastructure as a service (IaaS) can be used dynamically to allocate the bandwidth to services and monitor the network flow routing. Due to the large amount of filthy retransmission, existing live migration systems still suffer from extensive downtime and significant performance degradation in cross-data-center situations. This study aims to minimize the energy consumption by restricting the VMs migration and switching off the guests depending on a threshold, thereby boosting the residual network bandwidth in the data center with a minimal breach of the service level agreement (SLA). In this research, we analyzed and evaluated the findings observed through simulating different parameters, like availability, downtime, and outage of VMs in data center processes. This new paradigm is composed of two forms of detection strategies in the live migration approach from the source host to the destination source machine.
Highlights
Infrastructure as a service (IaaS) is a network service that enables access to high-level APIs in order to substructure physical resources, such as computing resources, security, data partitioning, scaling, and backup
System virtualization is the basic methodology in the Infrastructure as a Service cloud computing model, where the virtual machines are executed within a hypervisor, for example, Oracle VirtualBox and VMware ESX/ESXi
IaaS typically involves the use of cloud computing technologies, such as “OpenStack and Apache CloudStack”
Summary
Infrastructure as a service (IaaS) is a network service that enables access to high-level APIs in order to substructure physical resources, such as computing resources, security, data partitioning, scaling, and backup. System virtualization is the basic methodology in the Infrastructure as a Service cloud computing model, where the virtual machines are executed within a hypervisor, for example, Oracle VirtualBox and VMware ESX/ESXi. The hypervisor pool of resources can take the form of an operating system or a computing resource that supports many virtual machines. The hypervisor pool of resources can take the form of an operating system or a computing resource that supports many virtual machines It can be based on different customer needs and reduce the overhead of services. Multiple virtual machines (VMs) operating on the same physical disk, known as VM consolidation, will increase cloud data center resource usage. Since the cloud infrastructure has become a popular solution, it is more critical than ever to take advantage of success opportunities and boost the cloud platform productivity [1]
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