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[XML-DEV Mailing List Archive Home] [By Thread] [By Date] [Recent Entries] [Reply To This Message] RE: XML Binary Characterization WG public list available
 Michael Champion wrote: > It is common sense that you can't optimize > both speed and space simultaneously. Common sense is great except for when it is wrong (or partially wrong). This particular bit of common sense is *often* correct, but not always... In communications protocols, reducing the "size" of an object will increase the speed with which it is communicated... (Speed of light is finite...) The same effect applies to memory and disk accesses. Speed in these contexts is at least partially related to size. Use of binary integers rather than their string representations can often reduce the size of objects while also increasing processing speed because the need to do conversions may be eliminated. A process that deletes instances of default values in representations of an object defined by a schema will often reduce the size of the instance. Depending on processing details, such deletions can result in speed improvements in addition to those that are the direct result of size reduction. (i.e. If you don't provide the default, you don't have to process it when creating or reading the object.) Replacing "begin" and "end" tags in a data stream with a "length" count can result in size reductions (if the begin/end tags are larger than the count value) while also improving speed by eliminating the need to scan for end tags. Replacing "tags" with references to a "dictionary" can drastically reduce the size of an object (see Xbis, etc.) while also making processing more efficient since you can do integer lookups into your symbol table rather than mucking about with strings. I could go on... Nonetheless, the general drift of the "common sense" is correct. It is usually not a good idea to attempt to optimize two things at the same time. It is also often impossible to optimize two things simultaneously. Further, folk who are trying to optimize more than one thing at a time are often simply showing that they haven't done enough analysis to understand which of the multiple optimization axis is actually most important to them. bob wyman 
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