File Name: server consolidation and virtualization .zip
In this paper, problems that additional hardwares should be introduced due to the introduction of new servers are reduced by reducing the space on the top surface of the computer data center after many old physical UNIX servers are loaded on one new virtualization consolidation server. In addition, some effects for reducing the computer maintenance cost and the power consumption of the computer data center could be generated. With such virtualization of UNIX server consolidation, it is expected that the maintenance cost of the computer center will be reduced in the future as well as currently and IT will be changed into green-it.
- Empirical Analysis of Server Consolidation and Desktop Virtualization in Cloud Computing
- Consolidation of Lightly Utilized Servers
- Comparison of platform virtualization software
Platform virtualization software , specifically emulators and hypervisors , are software packages that emulate the whole physical computer machine, often providing multiple virtual machines on one physical platform.
Empirical Analysis of Server Consolidation and Desktop Virtualization in Cloud Computing
Skip to main content. Homepage Header Search box Search. Description Until fairly recently, data center operators typically installed at least one physical server per application. Consolidating these servers will eliminate systems and reduce energy, hardware, and support costs. Server consolidation reduces total number of servers by putting more applications on fewer machines. You can consolidate servers by: Combining applications onto a single server and a single operating system instance. Two or three lightly utilized file servers, for example, can be consolidated onto one machine.
Provided by: National University of Kaohsiung. The physical server transition to virtualized infrastructure server has encountered crucial problems such as server consolidation, virtualization performance, virtual machine density, Total Cost of Ownership TCO , and Return On Investments ROI. Find By Topic.
Consolidation of Lightly Utilized Servers
Physical server transited to virtual server infrastructure VSI and desktop device to virtual desktop infrastructure VDI have the crucial problems of server consolidation, virtualization performance, virtual machine density, total cost of ownership TCO , and return on investments ROI. Well-known public large-size cloud and private enterprise-owned cloud are currently leading cloud computing and services, for example, Amazon AWS, Google App Engine, and Windows Azure in public cloud and Saleforce. In contrast, small-to-medium sized enterprises SMEs , educational institutes, and social groups are also very eager to pursue the services they want based on virtual server in cloud VSiC [ 1 ] architecture due to cost reduction, performance escalation, and security improvement. With this service, the operational costs for the information system can be drastically reduced and it can quickly increase the competitiveness of its information system, which is sustained by the following advantages: centralized monitoring, quick management, dynamic optimization, and efficient backup. Technically, unexpected situations with service-type servers, such as websites, databases, AP servers, and file servers, bring much trouble for enterprises. Once a service stops its function, it can cause faulty data, stalled production lines, and interrupted operation procedures, leading to multiple losses. However, a physical host has problems of promptness of service transfer to another host, restarting the service, and inability to update data in real time.
Comparison of platform virtualization software
Virtualization technology is important for servers that compose cloud data centers. The current trend is to consolidate servers to manage them easily and reduce hardware and power consumption in data centers. However, performance degradation is inherent to virtualization technology and is caused by the hypervisor and overhead due to the consolidation of several virtual servers inside a physical server. Several ways exist to virtualize a server; these methods are based mainly on virtual machines and containers. In this paper, we propose a general method to estimate the value of the consolidation overhead classes, regardless of the virtualization platform, server characteristics and workload type.
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How many servers for the underlying physical infrastructure are saved via server consolidation in virtualized data centers is of great interest to the administrators and designers of the data centers. Various workload consolidations differ in saving physical servers for the infrastructure. The impacts caused by virtualization to these concurrent services are fluctuating considerably which may have a great effect on server consolidation. This paper proposes an analytic model for server consolidation in virtualized Internet data centers based on the queuing theory. We verify the model via a case study.
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