To begin with, what does grid computing technology mean?
Grid computing technology comprises servers, networks, and storage systems, a distributed computing model; The integration of these is distributed in the network that serves users with robust storage and computing capacity. The technology mainly focuses on managing heterogeneous resources and ensuring that the resources are used efficiently and thoroughly.
Working of grid computing, considering practicality
Grid computing offers a single point of access to the end-user for performing tasks as it is a cluster of computing resources that pop up as an extensive system. One can run more than hundreds of services irrespective of being concerned about the place of execution.
One can run specialized software on their computer, participating in the data grid, through which the grid computing works. The specialized software participates or usually runs on a set of computers that interact directly with each other to coordinate jobs, known as ‘data grid.’
Tasks are explicitly assigned by the software that acts as a manager across the grid. Later, subtasks are appointed by the software to each computer. Setting subtasks to each computer results in simultaneous working on the respective work. The computers are allowed to communicate with each other with the help of the network to share information regarding consolidation and output delivery.
Significant requirements in grip computing technology
In order to establish a good name in the corporations’ sector and IT departments, grid technology needs to focus on data integrity, authentication, updates, and access control. A grid technology must focus on security issues and security mechanisms.
Other essential requirements include Extensibility, Fault tolerance, Scalability, Autonomy, Persistence, Non-persistence, Global namespaces, heterogeneity, and extensibility.
Advantages and Disadvantages!
There are two most important benefits of the grid: Economy and Performance.
Grid brings the computing aims at bringing the operating systems and hardware platforms together into a single virtualized entity with higher performances on an average than parts.
Complexity is one of the common factors that are found in developing applications with more dimensions in space. The dimensions are generated by heterogeneity which is used for resource and security policies. A variety of malfunctions also causes it as well.
Securing the grid administration resources and servers is a serious issue that cannot be neglected. Because of the data delivering and receiving from agents, the servers are public addressable in many cases that may be anywhere, speaking geographically.