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Enabling Grid Computing over IPv6 within a Campus Network

机译:在校园网络中启用通过IPv6的网格计算

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The biggest problem to be solved in grid computing is data transmission and communication efficiency and stability. For computing grid composed of small local area network(LAN), this problem can be solved by properly building LAN with the use of IPv4 network or high-speed computing network such as Infiniband. However, when the computing resources are distributed in different physical regions, data transmission and communication will be affected by various factors such as time period and load. On the one hand, the stability of transmission cannot be guaranteed; On the other hand, the speed of cross-regional data transmission is not optimistic. As the next generation of Internet protocol, IPv6 is at a transitional stage, and the load is far less than the IPv4-based network. So, it has a better stability and higher bandwidth. With the help of IPv6 network, cross-regional computing grids can be constructed to connect the computing resources in different physical regions in order to deal with some complex computing problems. This paper studies and tests the feasibility of transplanting MPI application (which is more commonly used in distributed computing) into IPv6 network for grid computing, and presents its implementation process in detail.
机译:网格计算中的最大问题是数据传输和通信效率和稳定性。对于由小型局域网(LAN)组成的计算网格,可以通过使用IPv4网络或高速计算网络(如Infiniband)正确构建LAN来解决这个问题。然而,当计算资源分布在不同的物理区域中时,数据传输和通信将受到各种因素的影响,例如时间段和负载。一方面,无法保证传输的稳定性;另一方面,跨区域数据传输的速度并不乐观。作为下一代因特网协议,IPv6处于过渡阶段,负载远低于基于IPv4的网络。因此,它具有更好的稳定性和更高的带宽。在IPv6网络的帮助下,可以构建交叉区域计算网格以将计算资源连接在不同的物理区域中,以处理一些复杂的计算问题。本文研究和测试将MPI应用程序的可行性(其在分布式计算中更常用)进入IPv6网络以进行网格计算,并详细介绍其实现过程。

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