别让你的数据中间收集 因为流量剧增而陷于瘫痪(国外英文资料).docVIP

别让你的数据中间收集 因为流量剧增而陷于瘫痪(国外英文资料).doc

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别让你的数据中间收集 因为流量剧增而陷于瘫痪(国外英文资料)

别让你的数据中心网络 由于流量剧增而陷于瘫痪 Pseudoization is thought to be one of the most important data center technologies that have emerged over the past decade. At present, the server and virtual storage were widely used in todays data center, their application brings in more flexible, efficient, and has a higher availability of the IT computing environment. When we try to use the server and virtual storage, we need to consider how to achieve the rationalization of network virtualization deployment, in order to gain an optimized data center. The emergence and development of virtualization technology was originally aimed at production environment, virtualization technology is now beyond the original according to the functional requirement of the production test and development environment, the IT department manager is working to understand the virtual into the effects of the network. As most virtualized servers can implement support for two to ten applications, network traffic is changing accordingly. At the moment, not only is Internet traffic growing, but there is also a growing spike in the potential for large-scale network traffic. For each virtual server, each rack now carries 160 to 400 applications. Therefore, IT must be taken into account when IT department managers are deploying more virtualized servers for their data centers. When a large number of virtual machines experience large network traffic at the same time, the data center is experiencing a surge in traffic (or peak impact). In the past, because physical servers were often inefficient, the data center had not experienced such a spike in network traffic (or peak impact). However, with the use of virtualization and cloud computing server implementation more fully utilized, and take up less space and more integrated, as a result, data center network traffic is changing. According to IDCs 2010 global server market forecast, the growth of virtual servers is well above the physical servers. Using virtualization technolo

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