
- Cloud Computing Basics
- Cloud Computing - Home
- Cloud Computing - Overview
- Cloud Computing - Evolution
- Cloud Computing - Characteristics
- Cloud Computing - Advantages
- Cloud Computing - Planning
- Cloud Computing - Technologies
- Cloud Computing - Architecture
- Cloud Computing - Infrastructure
- Cloud Deployment Models
- Public Cloud Model
- Private Cloud Model
- Hybrid Cloud Model
- Community Cloud Model
- Cloud Service Models
- Infrastructure Service
- Platform Service
- Software ervice
- Identity Service
- Network Service
- IaaS, PaaS, and SaaS
- Cloud Virtualization
- Cloud Computing Virtualization
- Server Virtualization
- Data Virtualization
- Software Virtualization
- Storage Virtualization
- Network Virtualization
- Linux Virtualization
- Cloud Advanced Concepts
- Cloud Computing - Management
- Cloud Computing - Data Storage
- Cloud Computing - Security
- Cloud Computing - Operation
- Cloud Computing - Applications
- Cloud Computing - Providers
- Cloud Computing - Challenges
- Cloud Computing - Mobile
- Google Cloud Platform
- Cloud Computing - Multitenancy
- Hypervisor Security
- Cloud Computing - Principles
- Security Architecture
- Fault Tolerance
- Cloud Computing - Resiliency
- Service Level Agreements
- Cloud Networking
- Server Consolidation
- Cloud Computing - Scaling
- Autoscaling vs Load Balancer
- Scalability and Elasticity
- Cloud Bursting vs Cloud Scaling
- Resource Pooling
- Load Balancing
- Security Threats in Implementation SaaS
- Cloud Computing - Data Center
- Cloud Computing - Aneka
- Cloud Computing - Rapid Elasticity
- Cloud Computing - Xaas
- Cloud Computing - DaaS
- Cloud Computing - CaaS
- Cloud Computing - Roots
- Cloud Hosting vs Web Hosting
- Colocation vs Cloud
- iCloud Drive vs Dropbox
- SAP vs Oracle Cloud
- Cloud Computing vs Data Science
- Cloud Integration Platform
- Onedrive and iCloud
- Private Cloud and On-premise
- What is Cloudcraft
- Bitbucket Cloud API
- Akamai vs Cloudflare
- AWS CloudWatch vs Datadog
- Cloud Burst
- Cloudflare vs CloudFront
- Elastic Cloud on Azure
- Cloud Useful Resources
- Cloud Computing - Quick Guide
- Cloud Computing - Useful Resources
- Cloud Computing - Discussion
Server Virtualization in Cloud Computing
Server Virtualization is the phase of breaking a physical server into multiple virtual servers known as virtual private servers. Each virtual private server can run freely. The concept of Server Virtualization is broadly used in the IT infrastructure to diminish the costs by improving the utilization of existing resources.
Server Virtualization enables us to use resources effectively. In server virtualization, it can remove the major cost of hardware. This virtualization in Cloud Computing can break the workload to multiple servers and all these virtual servers are capable of implementing a dedicated task.
The main advantage of server virtualization is cost-effective because it can divide a single server into several virtual servers which removes the cost of physical hardware. Furthermore, the applications are no in high in need of their server as each virtual machine on the server works them.
Hypervisor plays an important role in Server Virtualization. It is a layer among the operating framework and hardware. There are two methods of hypervisors including Type 1 hypervisor and Type 2 hypervisor.
In server virtualization, it is broadly used in IT infrastructure as a technique of minimizing costs by enhancing the utilization of existing resources. Virtualizing servers is generally a good solution for small- to medium-scale software. This technology is broadly used for supporting cost-effective web hosting services.
Types of Server Virtualization
The types of server virtualization are as follows −
1. Full Virtualization
Full Virtualization uses a hypervisor to directly connect with the CPU and physical server. It supports the best isolation and security structure to the virtual machines. It is similar to Para-virtualization. Therefore, machine operation used by the operating system is used to implement input-output or change the system status.
The unmodified operating frameworks can run on top of the hypervisor. This is possible because of the operations, which are emulated in the application and the status programs are restored with what the real hardware can deliver.
2. Para Virtualization
In the Para virtualization model the simulation is trapping overhead in software virtualizations. It depends on the hypervisor and the guest operating system and changed entry compiled for installing it in a virtual device.
3. Operating System Virtualization
Operating system virtualization is also referred to as system-level virtualization. It is a server virtualization technology that divides one operating framework into multiple isolated user-space called a virtual environments. The main advantage of using server visualization is that it decreases the use of the physical area, so it will store money.
4. Hardware-Assisted Virtualization
Hardware-Assisted Virtualization was given by AMD and Intel. It is also referred to as Hardware virtualization, AMD virtualization, and Intel virtualization. It is created to improve the performance of the processor. The benefit of using Hardware-Assisted Virtualization is that it needs less hypervisor overhead.