关于支持发育计算的网程结构的若干注记

比较了生物学中的细胞、操作系统中的进程和织女星网格的网程，传统的操作系统进程对应于低等生物(如细菌)中的细胞，为了支持人机社会和网格的动态、开放特征，更有效地应对复杂性，网格应该学习更高级的生物体，提供增殖、分化和选择功能，这意味着两种新的计算模式：发育计算和自然计算，这两种模式都能够提升网格系统的自主性，有利于实现自主计算，从计算机操作系统角度分析细胞的创建过程，指出进程与细胞的差距，从而提出发育计算的思想，以及支持发育计算所需要的网程结构。

Notes on a Grid Process Construct Supporting Development Computing

In this paper, the cell construct in biology, the process construct in operating system, and the grip construct in grids are compared. It is noted that the process construct in traditional operating systems is very similar to a bacteria cell. To accommodate the complexity caused by dynamic and open characteristics of grids, grid needs to learn from more advanced life forms, such as plants and animals, which provide for proliferation, differentiation, and selection. This leads to two new models of computing, called development computing and natural computing, that could facilitate autonomous computing in a grid. The state transitions of cells are analyzed from an operating system's viewpoint, the differences are pointed out, and essential features needed by development computing are identified. Based on this analysis, a grid process construct that supports development computing is proposed.