The term grid computing appeared in the early 1990s as a metaphor, showing the possibility of easy access to computing resources as well as to the mains (power grid). Grid technology is used for simulation and data processing in experiments by Cloud Technology Companies (grid used in other computationally intensive tasks).
Currently there are three main types of grid systems: voluntary grids – grids through the use of voluntarily provided free resource of personal computers. Scientific grids – application largely programmed in a special way. Grids based on the allocation of computing resources on demand (commercial grid, Enterprise grid) – ordinary commercial applications run on a virtual machine, which in turn, consists of several physical computers together using Grid technologies.
Structure Grid Systems
Highest point of the hierarchy, zero – CERN (getting information from the detector, the collection of raw scientific data that will be stored until the end of the experiment). During the first year of operation, it is planned to collect up to 15 petabytes (thousands of terabytes) of data of the first copy.
The first level , Tier1 – deposit of the second copy of the data in other parts of the world. Centers have substantial resources for data storage. Tier2 – following in the hierarchy, many second-tier centers. Having large storage resources is not necessary; but must possess good computational resources.
The use of software solutions as a service (SaaS) provided by Cloud Technology Companies allows for better control of technical specifications. Outsourcing of all the technical solutions keeps costs fixed, usually based on the number of people using the SaaS solution. The price per user includes the cost of software licenses, maintenance and infrastructure. A company can choose between using Saas on one hand, and acquisition of licenses and in-house deployment, on the other hand.
The benefits of SaaS include financial impact. The total cost of acquisition and maintenance of the solution (TCO, total cost of ownership) are usually spent in capital (CAPEX, excluding maintenance).
A clear advantage for businesses is the speed of deployment. SaaS solutions are already pre-existing deployment time is extremely low. Another advantage would be to reduce power consumption by allowing the pooling of resources shared by several companies as well as the use of a low power computer with a Web browser without other licenses associated with servers.
During the implementation of SaaS solutions, data on the client company are generally stored on the servers of the service provider providing the solution. When it comes to sensitive or confidential data, the company is obliged to make contractual arrangements with the supplier.
The relocation of SaaS solution servers allows mobile access to corporate data. This access leads to a concern for privacy of information when staff departs.