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Conventional and virtualization-based implementations in operator networks are analyzed based on a realistic use case in terms of cost and energy efficiency. The results show advantages for the virtualization-based solutions as the systems' utilization as a key factor is improved.
The relocation of high performance computing systems (HPC) to the cloud poses new challenges for data center architects and IT managers. These challenges are due to heterogeneity injected into data centers by cutting-edge virtualization technologies and hardware accelerators used to support emerging cloud applications and services. Although hardware accelerators like General Purpose Graphics Processing...
Given the fact that the virtualization technology improves resource utilization and reduces the operational expenses, it also causes a considerable impact on the system performance in the form of virtualization overheads. With the emergence of virtualization technology, new virtualization platforms are also being developed in the commercial market. The aim of this research study is to investigate...
The paper reveals a trend of substituting PC with thin clients. Features and application demand of thin clients are investigated. A comprehensive evaluation system is established, which takes factors including hardware, remote concentrated management system, peripheral compatibility, performance, reliability, virtualization platform compatibility and energy consumption into account. Furthermore, we...
Virtualization is being widely applied across Information Technology (IT) infrastructure due to its various advantages including efficient resource utilization, ease of management, reduced energy consumption and much more. A Virtual Machine (VM) is a software implementation of a machine that is portable and hardware independent. VM migration improves the performance of the overall system by effectively...
Energy efficiency and High computing power are basic design considerations across modern-day computing solutions due to different concerns such as system performance, operational cost, and environmental issues. Opportunistic grid infrastructures offer computational power at low cost focused on harvesting idle computing cycles of existing commodity computing resources. Other than allowing to customize...
Energy consumption of data centers has been in-creasing continuously during the last years due to rising demands of computational power especially in current Grid- and Cloud-Computing systems. One promising approach of reducing this energy consumption is the consolidation of servers by virtualization. Many low loaded computer systems are virtualized and run on few physical servers for reducing the...
Virtualized infrastructure providers demand new methods to increase the accuracy of the accounting models used to charge their customers. Future data centers will be composed of many-core systems that will host a large number of virtual machines (VMs) each. While resource utilization accounting can be achieved with existing system tools, energy accounting is a complex task when per-VM granularity...
The reduction of energy consumption in large-scale datacenters is being accomplished through an extensive use of virtualization, which enables the consolidation of multiple workloads in a smaller number of machines. Nevertheless, virtualization also incurs some additional overheads (e.g. virtual machine creation and migration) that can influence what is the best consolidated configuration, and thus,...
Rapid growth of the demand for computational power by scientific, business and web-applications has led to the creation of large-scale data centers consuming enormous amounts of electrical power. We propose an energy efficient resource management system for virtualized Cloud data centers that reduces operational costs and provides required Quality of Service (QoS). Energy savings are achieved by continuous...
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