A probabilistic analysis is employed to determine the effect of hierarchical storage organizations on information retrieval operations. The data storage hardware is assumed to consist of n-levels of linearly connected memory hardware with increasing data access times and increasing data storage capabilities. A system might, for example, consist of fast semiconductor memory, computer core memory, extended core storage, disk memory, and data cells. Equations are derived to predict the effect of such a system on data access times using sequential files, random access files, and structured files employing multiple-hierarchical linked lists.
The full text of this article is premium content
No entries found
Log in to Read the Full Article
Please select one of the options below for access to premium content and features.
Create a Web Account
If you are already an ACM member, Communications subscriber, or Digital Library subscriber, please set up a web account to access premium content on this site.
Join the ACM
Become a member to take full advantage of ACM's outstanding computing information resources, networking opportunities, and other benefits.
Subscribe to Communications of the ACM Magazine
Get full access to 50+ years of CACM content and receive the print version of the magazine monthly.
Purchase the Article
Non-members can purchase this article or a copy of the magazine in which it appears.