牛人对网格、分布式计算、集群、p2p的定义，联系与区别

最新推荐文章于 2023-06-04 10:04:32 发布

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最新推荐文章于 2023-06-04 10:04:32 发布 · 3.2k 阅读

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#分布式计算 #p2p #网格 #集群 #parallel #algorithm

本文探讨了分布式计算的抽象概念，包括集群、网格、并行计算和P2P的区别。集群是紧密耦合的分布式计算，通常在同一环境中；网格则是松散耦合的，节点可能分布在不同位置，通过HTTP(s)/XML通信。并行计算是高度耦合的，如今较少使用。P2P是极度松散耦合的，但因Napster等应用而名声受损。集群与网格的主要区别在于地理位置、平台一致性、耦合程度及通信方式。

Distributed Computing: an abstract concept. Very general.

Cluster: tightly-coupled distributed computing. A Cluster is usually inside the same room, using same computers, same OSs, connected using dedicated clustering software.

Grid: loosely-coupled distributed computing. A Grid is usally dispersed anywhere far-away from each other, and you do not know what computers, what OS on each node, you only know they communicate via HTTP(s)/XML in a black-box style. More flexible.

Parallel Computing: very tightly-coupled distributed computing, like a few CPUs inside a PC. Parallelism was a dream in 1980-1990 but that concept failed, because many things cannot be split into parallel tasks. The overhead to write parallel algorithm is tramendous. People no longer use this term much these years.

P2P: an extremely loosely-coupled distributed computing. Since the name was ruined by Napster, people try to avoid using this term in their serious project