Letovsky S
Genome Data Base, Baltimore, MD 21205, USA.
J Comput Biol. 1995 Winter;2(4):539-46. doi: 10.1089/cmb.1995.2.539.
The exponentially increasing volume of scientific information is threatening to overwhelm the budgets and storage capacities of the world's academic libraries. At the same time, new information technologies are poised to revolutionize the publication infrastructure of science. In evaluating these new technologies we must pay attention to their scalability properties: how well will they perform as the amount of information they are handling increases by orders of magnitude? This article identifies some scalability criteria and evaluates some of the current information technologies with respect to them. It ends by suggesting future directions for these technologies.
科学信息数量呈指数级增长,这有可能使全球学术图书馆的预算和存储容量不堪重负。与此同时,新信息技术有望彻底改变科学出版基础设施。在评估这些新技术时,我们必须关注它们的可扩展性:随着它们所处理的信息量增加几个数量级,它们的表现会有多好?本文确定了一些可扩展性标准,并据此评估了一些当前的信息技术。文章最后提出了这些技术未来的发展方向。