**7. Grid computing**

Grid computing – the use of a *computational grid* -- is applying the resources of many computers in a network to a single problem at the same time using large amounts of data (SAS, 2010). It also could be referred at the combination of computer resources from multiple domains to reach a common goal. It can divide a program to as many as several thousand computers and can be thought of as large-scale cluster computing and can be confined to the network of computer workstation or it can be a public collaboration which is known as peer-to-peer computing.

Grid computing – the use of a *computational grid* -- is applying the resources of many computers in a network to a single problem at the same time using large amounts of data (SAS, 2010). It also could be referred at the combination of computer resources from multiple domains to reach a common goal. It can divide a program to as many as several thousand computers and can be thought of as large-scale cluster computing and can be confined to the network of computer workstation or it can be a public collaboration which is

Fig. 7. Cloud activities

Fig. 8. Architecture of activities on cloud

known as peer-to-peer computing.

**7. Grid computing** 

Grid computing are distinguished from conventional high performance computing systems such as cluster computing because grids tend to be more loosely coupled -- computers acting together to perform very large tasks -- and geographically dispersed. However, it is more common that a single grid can be used for a variety of different purposes (Liang, Gang, & Yifei, 2011).

Therefore, grid computing appears to be a promising because it suggests that the resources of many computers can be cooperatively and perhaps can be connected together and managed as collaboration toward a common objective and with our awareness.
