In economics, elasticity is the ratio of the percent change in one variable to the percent change in another variable. Computational elasticity is the application of this concept to how computer systems scale with relation to temporal and monetary costs.
The concept of computational elasticity is a particularly useful concept for comparing cloud computing platforms with relation to costs. An example question where the concept of computational elasticity is useful might include: If the number of users on a website expands from 100/day to 1000000/day over the course of the next week, what will the cost be to ensure a fast page load?
This book is your ultimate resource for Cloud Computing Elasticity. Here you will find the most up-to-date information, analysis, background and everything you need to know.
In easy to read chapters, with extensive references and links to get you to know all there is to know about Cloud Computing Elasticity right away, covering: , Cloud computing, Computational elasticity, Elasticity (economics), Advertising elasticity of demand, Arc elasticity, Armington elasticity, Constant elasticity of substitution, Cross elasticity of demand, Elasticity of complementarity, Elasticity of substitution, Frisch elasticity of labor supply, Output elasticity, Price elasticity of demand, Price elasticity of supply, Small but Significant and Non-transitory Increase in Price, Total revenue test, Yield elasticity of bond value.
This book explains in-depth the real drivers and workings of Cloud Computing Elasticity. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Cloud Computing Elasticity with the objectivity of experienced professionals.