Cloud Computing has brought a huge impact in IT industry. Computing
resources are easier to get in Cloud Computing. Briefly speaking, Cloud
Computing is a resource pool, which contains a masssive amount of
interconnected computers. Under such background, in order to make full
use of the network, Google initiated MapReduce model. This model is an
implementation of Parallel Computing, which aims at processing large
amount of data. Given certain computing resources and MapReduce model,
this book gives some thinking about how to estimate the time consumption
of a huge computation task. Based on classical Parallel Computing
theories, this book proposed two models to estimate the time
consumption. It also gives conclusions about what type of computation
task is estimatable. The experiments in this book are easy to implement,
which are very suitable references for Cloud Computing fans.