Gigabit Ethernet Interface

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All indications are that 10,000 trillion and 40,000 gigabit Ethernet will be implemented in the coming years

All indications are that 10,000 trillion and 40,000 gigabit Ethernet will be implemented in the coming years. For example, it discusses the enhanced architecture research and development that Cisco continued to the end of 2011, from the server network interface to the core network, and referred to Cisco's fiber-optic switch route map based on commercial silicon, code-named "Gravel Machine". There are many interesting predictions, such as 10GB Ethernet and GB Ethernet. Expect to see a large number of server boards that support 10GB. At the beginning of the year, you can even see many 10GB Ethernet interface motherboards. All this means that we are already in the application of GB ...

How do Ethernet switches evolve when the cloud computing era arrives?

Cloud computing must be at the top of the list if we are to make a selection of the hottest terms in the 2009 IT industry. It paints a blueprint of the future for all users: customers need only a laptop or a mobile phone to be able to use Web services to do what we need, even work like supercomputing. Cloud computing is an infinitely powerful computing power that provides us with unlimited space for storage and data management, as well as an infinite number of possibilities for our network usage. Such a wonderful and moving prospect, more ...

Intel: Troika drives Open cloud computing

Over the past year or so, after the IT industry reached a consensus that open architecture and open ecosystems will be the key drivers of cloud computing, many it vendors and corporate users are looking to Intel, partly because Intel has achieved the benefits of open architecture and open ecosystems in the server, The advantages of storage and Ethernet, which are closely related to cloud computing carriers, are also inspired by its 2015 Cloud Vision, officially released in October 2010. Intel's 2015 Cloud Vision can be viewed as a perfect build ...

How to build high performance Hadoop cluster for large data processing

More and more enterprises are using Hadoop to process large data, but the overall performance of the Hadoop cluster depends on the performance balance between CPU, memory, network and storage.   In this article, we will explore how to build a high-performance network for the Hadoop cluster, which is the key to processing analysis of large data. As for Hadoop "Big Data" is a loose set of data, the growing volume of data is forcing companies to manage in a new way. Large data is a large set of structured or unstructured data types ...

Expert Answer: Data Center cabling Project 10 Questions

In this article, we will introduce users in the data center cabling project encountered 10 problems and Wu, Zhang Yi and Chen Yutung and other experts to answer.   1. Q: On the construction of cable across long distance I encountered this situation in the unit, the office building is too wide, and the Internet access point in the most left of the building, to achieve every floor has Internet access, but also fast, how to solve? Chen Yutung: The balance twisted pair is 100 meters in support of data application, which is defined by international standards. In more than 100 meters of ...

Design principle of reference design for Hadoop integrated machine

Hadoop is a highly scalable, large data application that can handle dozens of TB to hundreds of PB of data through fewer than thousands of interconnected servers. This reference design realizes a single cabinet of Hadoop cluster design, if users need more than one cabinet of Hadoop cluster, can expand the design of the number of servers and network bandwidth easy to achieve expansion. Hadoop solution The features of Hadoop design Hadoop is a low-cost and highly scalable large data place ...

Logistics Industry informatization Construction Solution

With the development of network, database and related application technology, especially the wide application of Internet and Intranet, the world is entering the era of Network Center computing (receptacle centric Computing).   The logistics industry has also developed from the traditional material information movement to provide low-cost services for consumers using information technology. The definition of logistics informatization is: the use of information technology to integrate the internal business processes, so that enterprises to scale management, network operation direction. Sth.

Facing challenges--Cisco technology innovation under the background of "cloud"

Cloud computing has brought unprecedented challenges to data center networks, which are mainly embodied in network scale, resource virtualization and sharing, and distributed data Center collaboration. First look at the network scale. Cloud Computing Data Center Server size is usually thousands of units, or even tens of thousands of units, and with the development of the business, the scale of the network will continue to expand, with the attendant, cabling network management has become more complex. The traffic flow model is no longer the traditional north-south oriented, high convergence ratio, but with hado ...

Three elements of network, storage and virtualization to build a new network

Although every part of modern data centers is critical, the network is the Absolute foundation of all communications. That's why it's necessary to design and build a reasonable network from the start. After all, without a solid network, even the best servers and storage can do nothing. To this end, we provide several design points and best practices to help you consolidate this communication base. Consideration of the network core the word "network" can be applied to multiple domains from LAN to San, WAN. All of these areas require a network core. Our discussion starts here ...

Choose the right hardware configuration for your Hadoop cluster

With the start of Apache Hadoop, the primary issue facing the growth of cloud customers is how to choose the right hardware for their new Hadoop cluster. Although Hadoop is designed to run on industry-standard hardware, it is as easy to come up with an ideal cluster configuration that does not want to provide a list of hardware specifications. Choosing the hardware to provide the best balance of performance and economy for a given load is the need to test and verify its effectiveness. (For example, IO dense ...

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