Grid Computing

Grid computing

High Performance Computing (HPC)

           High Performance Computing refers to the aggregating computing power in a way that delivers much higher performance than desktop computer or workstation in order to solve large problems in science.

          HPC allows companies and researchers to aggregate computing resources to solve problems that are either too large for standard computers

High performance computing has three main components:

          Compute

          Network

          Storage

Grid


Grid is network node that connects to multiple computers to provide large data storage capacity


Grid network

           A grid network is a computer network consisting of a                number of computer systems connected in a grid topology.

          A grid network is a computer network consisting of a number of computer systems connected in a grid topology. Layout of a grid low-voltage network. In a regular grid topology, each node in the network is connected with two neighbors along one or more dimensions.

Why is Grid Computing Important?

               Scalability: to scale their computational resources                             dynamically. As workloads increase, additional machines can    be added to the grid, ensuring efficient processing.

              Resource Utilization: By pooling resources from multiple computers, grid computing maximizes resource utilization.

            Complex Problem Solving: Grids handle large-scale problems that require significant computational power.

          Collaboration: Grids facilitate collaboration across geographical boundaries. Researchers, scientists, and engineers can work together on shared projects.

          Cost Savings

 Working of grid computing

        In Grid computing is a network of computers working together to perform a task that would rather be difficult for a single machine.

          All machines on that network work under the same protocol to act as a virtual supercomputer.

          The tasks that they work on may include analyzing huge datasets or simulating situations that require high computing power.

        Computers on the network contribute resources like processing power and storage capacity to the network.

 

          The tasks that they work on may include analyzing huge datasets or simulating situations that require high computing power.

Computers on the network contribute resources like processing power and storage    capacity to the network

        Grid Computing can be defined as a network of computers 

                working together to perform a task that would rather be 

                    difficult for a single machine.

          All machines on that network work under the same protocol to act as a virtual supercomputer.

            The tasks that they work on may include analyzing datasets or simulating

            Computers on the network contribute resources like processing power and storage capacity to the network.




Why is Cluster computing important?

                   Cluster computing gives a relatively inexpensive,                         unconventional to the large server or mainframe computer                 solutions.

   It resolves the demand for content criticality and process services in a faster way.

          It ensures that computational power is always available.

          It provides a single general strategy for the implementation and application of parallel high- performance systems independent of certain hardware.

               Parallel computing is done with a collection of                         computers (clusters) working together, such as a connected   group of servers placed closely to one another both physically and in network topology, to minimize the  latency between nodes.


          Applications of Cluster Computing:

Various complex computational problems can be solved

          It can be used in the applications of aerodynamics, astrophysics and in data mining.

              Weather forecasting.

              Image Rendering.

              Various e-commerce applications.

              Earthquake Simulation.

              Petroleum reservoir simulation.

Internet computing

  Internet is the global system of interconnected computer networks that uses the Internet protocol suite (TCP/IP)to communicate between networks and devices

          Internet computing is a model for enabling convenient, on-demand network access to a shared. pool of configurable computing resources (e.g., networks, servers, storage, applications,


What is P2P (Peer-to-Peer Process)?

           P2P process deals with a network structure where any participant in the network known as a node acts as both a client and a server

          Everybody from the network of nodes can trade resources and services with one another.

In a P2P system, every node has an equal role to play and the same functionalities.

What is P2P (Peer-to-Peer Process)?

                 P2P process deals with a network structure where any         participant in the network known as a node acts as both         a client and a server.

          Everybody from the network of nodes can trade resources and services with one another.

          In a P2P system, every node has an equal role to play and the same functionalities.

 Open Grid Services Architecture (OGSA)

          It is developed by The Global Grid Forum from 2002 to 2006.

          It defines a set of rules that make up a grid service.

          It aims to define a common, standard, and open architecture for grid-based applications.

It is an architecture designed for building and managing distributed computing

.          Open Grid Services Architecture (OGSA) in which information is shared among diverse components of large, heterogeneous grid systems.

            Grid system is a scalable wide area network (WAN) that supports resource sharing and distribution.

          It provides an infrastructure layer for the Open Grid Services Architecture.

          OGSI is based on web services technologies, such as SOAP (Simple Object Access Protocol) and WSDL (Web Services Description Language).

          It is designed to provide a standard way to build and manage grid services.

          It is based on WSRF (Web Services Resources Framework).


Types of Grid

          Data grid computing-Data grids refer to grids that split data into multiple computers.

          Data grid computing allows several users to simultaneously access, change, or transfer distributed data.

          A data grid can be used as a large data store where each website stores its own data on the grid.

 Departmental grid

          A departmental grid refers to the usage of computer resources within a single group that is an engineering department connecting desktop machines, clusters, and equipment within that department.

 

Enterprises Grid

          This system operates on a data grid where computers interact to coordinate jobs at hand.

          Operational data, such as customer orders and transaction records, billing and accounting systems, or internal labor statistics.

                  Global grids refers to the combination of departmental and                    enterprise grids which are used in commercial or collaborative   manner.

          A computational grid consists of high- performance computers. It allows researchers to use the combined computing power of the computers. Computational grid use to computing to perform resource-intensive tasks.

          Utility Grid-designed to variables distribution and transmission equipment.

 Grid Computing Application

          Scientific Research and High-Performance Computing

          Weather Forecasting

          Government and Defense

          Business Intelligence and Data Analytics


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Milan Tomic

Hi. I’m Designer of Blog Magic. I’m CEO/Founder of ThemeXpose. I’m Creative Art Director, Web Designer, UI/UX Designer, Interaction Designer, Industrial Designer, Web Developer, Business Enthusiast, StartUp Enthusiast, Speaker, Writer and Photographer. Inspired to make things looks better.

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