Here’s a thought experiment. Suppose each server uses X watts idle and X+Y watts busy. If you have N programs that currently run on N servers that are Z% idle then in the best case you really only need D=
Doing it wrong: Poul-Henning Kamp
Kamp writes to explain that virtual memory behavior can be important for program performance. That is, he explains From the programmer’s standpoint, the working set of information is the smallest collection of information that must be present in main memory
Process algebra reconsidered
Paper is here. The following incorrect claim is not unusual in the process algebra literature. Basically, what is missing [in classical automata theory] is the notion of interaction: during the execution from initial state to fi nal state, a system may
More state diagrams
How much should software cost?
The biggest VA outlay — and its biggest savings generator — was the Vista’s Computerized Patient Record System, the home-grown system for electronic health records that was found by the study to cost $3.6 billion. Other IT networks for administering
Notes on modularity
Modularity is a desirable but elusive design property for large scale programs and computer systems [10, 11]. Designs that appear modular may, once put into practice, actually turn out to be example of “false modularity” because of interdependencies between components.
Power savings via software
This press release is particularly fluffy, but whatever the reality of this very vaguely defined algorithmic development the basic message is correct to validate nine terabytes of data (nine million million or a number with 12 zeros) in less than
Queues and algebra
Suppose we have a state machine Q, that implements a common first in first out queue. The input alphabet of Q consists of “Deq” and “Enq x” where “x” ranges over a set of values, say, V. Let’s fix the
simple lemma about pipelines
The connection between group structure and pipeline design seems like it merits a lot more attention than it gets. It’s not too hard to show that in a pipeline like the one to the right, the induced monoid of M1
The Amory Lovins bottleneck
Lovins observes that power inputs in many industrial processes go into a bottleneck that makes power conservation hard if you start at the wrong end. The power goes into a long pipeline of process that emerges on the other end