Contents
What makes a large scale system highly available?
Large scale systems often need to be highly available. Availability is the ability of a system to be operational a large percentage of the time – the extreme being so-called “24/7/365” systems. The largest challenge to availability is surviving system instabilities, whether from hardware or software failures.
When did the study of large scale systems start?
Large-scale systems (LSS) are encountered frequently in engineering practice, biology systems, cyber-physical systems, and so on. Researches on LSS are extensively regarded to be started around 1970s. Various research articles and monographs have been published on the analysis and synthesis of an LSS [18,19].
How big is a large-scale computer system?
Many of the systems in these contexts are very large in scale: they consist of hundreds or thousands of computers and millions of lines of code and they conduct transactions almost continuously.
Why are large scale systems prone to faults?
Large-scale systems are often modelled as dynamic equations composed of interconnections of a set of lower-dimensional subsystems. Such systems are prone to suffering from various faults due to their wide distribution in space and interdependencies among the subsystems.
Is there research on large-scale computer systems?
Some have argued that the notion of computer systems research needs to be reinvented (Adams, 1999). Today’s large-scale IT systems crest on a shaky foundation of ad hoc, opportunistic techniques and technologies, many of which lack an adequate intellectual basis of understanding and rigorous design.
What does it mean when a circuit has greater than one power gain?
A gain greater than one (greater than zero dB), that is amplification, is the defining property of an active component or circuit, while a passive circuit will have a gain of less than one. The term gain alone is ambiguous, and can refer to the ratio of output to input voltage (voltage gain), current (current gain) or electric power (power gain).
What do you need to know about systems thinking?
With systems thinking, you can use diagrams, graphs, and computer simulations to illustrate and model systems behavior. Then, this information allows you to predict what will happen. The entire foundation of this thinking style began in 1956 with Professor Jay Forrester at the Massachusetts Institute of Technology.