Difference between revisions of "List space"
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− | There are a number of ways that | + | There are a number of ways that ''list-items'' can be linked together to form lists and ''[[w:Binary Tree|binary-trees]]'' which are all constructed from this general "three-slot" data structure, such as [[stack]]s, [[queue]]s and [[axis|axes]]. ''List-space'' uses a generic [[loop]] linking system for handling whats in use and what's free, but the main functionality of ''list-space'' which is the foundations for [[Nodal Reduction]] is [[binary traversal details|binary traversal]]. |
Within each of the three keys common to all ''list-items'', the first and second are used for [[binary traversal details|binary traversal]] which allows ''list-item-keys'' to be used as [[association]]s (see [[key-as-reference]] for more details on this concept). The last key is context specific and represents a ''value'' at the end of an ''association'', but both the association-key and the association-value are ''list-item-keys'', references to other ''list-items''. | Within each of the three keys common to all ''list-items'', the first and second are used for [[binary traversal details|binary traversal]] which allows ''list-item-keys'' to be used as [[association]]s (see [[key-as-reference]] for more details on this concept). The last key is context specific and represents a ''value'' at the end of an ''association'', but both the association-key and the association-value are ''list-item-keys'', references to other ''list-items''. |
Revision as of 04:25, 30 October 2006
The Nodes are relatively high-level structures and at runtime within the peer-nodes they sit upon a more fundamental layer called list space in which the actual nodal change takes place in a peer.
- List items
The project uses a very fundamental memory model based on binary sequences. The entire memory can be divided into groups of smaller sequences which can themselves each be referred to by a locally unique binary sequence. For example, a 16 megabyte section of RAM can be divided into two million 64-bit sequences. List-space uses blocks of binary as its local memory resource and divides the block up into smaller binary sequences called list items. Each list-item hold the same structure of content which is a sequence of three list-item-keys.
- List item keys
Since binary can be treated as numbers, each of the two million sequences in the example above can itself be referred to, or addressed, by a unique binary sequence called a list-item-key. In the case of two million items, the list-item-keys are 21 bit sequences. In other words, a 16MB list-space is divided into two million list-items each formed from three 21-bit list-item-keys. The slight inefficiency of wasting one out of every 64 bits is done because of increased efficiency gained from working with sizes which are powers of two.
- Three keys
There are a number of ways that list-items can be linked together to form lists and binary-trees which are all constructed from this general "three-slot" data structure, such as stacks, queues and axes. List-space uses a generic loop linking system for handling whats in use and what's free, but the main functionality of list-space which is the foundations for Nodal Reduction is binary traversal.
Within each of the three keys common to all list-items, the first and second are used for binary traversal which allows list-item-keys to be used as associations (see key-as-reference for more details on this concept). The last key is context specific and represents a value at the end of an association, but both the association-key and the association-value are list-item-keys, references to other list-items.
- List-space methods;
List Space is an environment which offers a generic set of methods which can manipulate a space of generic List-Items each addressable by a binary List-Item-Key. Each List-Item is composed of three List-Item-Keys. This simple model is rich enough to support many kinds of higher data structures such as stacks, queues, threads, loops and trees.
- listInsert()
- listRemove(subject)
- listTraverse(subject, object)
- listGetValue(subject)
- listSetValue(subject, value)
- listGetKeys(subject)