Self Organization of Software LDRD Final Report

OSBOURN, GORDON C.

Sandia National Laboratories

关键词: Testing;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Computers;    Statistical Mechanics;    Programming;   

DOI  :  10.2172/808618
RP-ID  :  SAND2003-0095
RP-ID  :  AC04-94AL85000
RP-ID  :  808618

美国|英语

来源: UNT Digital Library

【 摘 要 】

We are currently exploring and developing a new statistical mechanics approach to designing self organizing and self assembling systems that is unique to SNL. The primary application target for this ongoing research is the development of new kinds of nanoscale components and hardware systems. However, a surprising out of the box connection to software development is emerging from this effort. With some amount of modification, the collective behavior physics ideas for enabling simple hardware components to self organize may also provide design methods for a new class of software modules. Large numbers of these relatively small software components, if designed correctly, would be able to self assemble into a variety of much larger and more complex software systems. This self organization process would be steered to yield desired sets of system properties. If successful, this would provide a radical (disruptive technology) path to developing complex, high reliability software unlike any known today. The special work needed to evaluate this high risk, high payoff opportunity does not fit well into existing SNL funding categories, as it is well outside of the mainstreams of both conventional software development practices and the nanoscience research area that spawned it. We proposed a small LDRD effort aimed at appropriately generalizing these collective behavior physics concepts and testing their feasibility for achieving the self organization of large software systems. Our favorable results motivate an expanded effort to fully develop self-organizing software as a new technology.