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同位计算(Peer to Peer)热了起来。有人认为在互联网大集中、大服务器时代说什么同位计算,强调用户端资源的再分配、冗余利用,不是革命性的前进,而是历史性地倒退。是前进还是倒退,有争议的必要。什么是同位计算提出同位计算大约是在1999年6月,当时Napster公司靠同位计算软件起家,在Client/Server网络中运行同位计算软件后,使所有Client端都升位至server。也就是说,所有Client都升位于、等同于Server,它们之间可以不通过原来的Server调度,自己形成网状进入自动地相互通信状态。实际上这种状态特别适于远程资源的利用和再分配,对于最终用户来说,能够享用所有加入同位计算网络中的资源,而自己的冗余资源也在
Peer to Peer heats up. Some people think that in the Internet, the big server era that what co-ordinate computing, emphasizing the redistribution of client resources, redundant use, not a revolutionary move, but a historic retrogression. Is forward or backward, controversial necessity. What Is Co-ordination Computing? Co-ordination calculations were made about June 1999, when Napster started out as co-located computing software and ran all client-side up to server after running co-located computing software on the Client / Server network. In other words, all the clients are located in the same, equal to Server, they can not be the original Server scheduling, forming their own mesh into the state of mutual communication. In fact, this state is particularly suitable for the remote resource utilization and redistribution, for the end user, can enjoy all the resources joined in the co-located network, and their own redundant resources