Grid Computing

Grid Computing

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  WELCOME
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  GRID COMPUTING
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  What is GridComputing? Cousins of grid computing. Methods of grid computing. Who Needs It? Grid Users Some highly visible grids. Using the grid.
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  What is gridcomputing? Grid computing involves connecting geographically remote computers into a single network to create a virtual supercomputer by combining the computational power of all computers on grid. COMPUTATIONAL GRIDS Homogeneous Heterogeneous
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  A network ofgeographically distributed resources including computers, peripherals, switches, instruments, and data. Each user should have a single login account to access all resources. Resources may be owned by diverse organizations
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  Cousins of GridComputing Distributed Computing Peer-to-Peer Computing etc. Distributed Computing Distributed computing is most often concerned with distributing the load of a program across two or more processes
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  PEER2PEER Computing Sharingof computer resources and services by direct exchange between systems. Computers can act as clients or servers depending on what role is most efficient for the network.
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  Methods of GridComputing Distributed Supercomputing High-Throughput Computing On-Demand Computing Data-Intensive Computing Collaborative Computing Logistical Networking
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  Distributed Supercomputing Combiningmultiple high-capacity resources on a computational grid into a single, virtual distributed supercomputer. Tackle problems that cannot be solved on a single system.
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  High-Throughput Computing Usesthe grid to schedule large numbers of loosely coupled or independent tasks, with the goal of putting unused processor cycles to work.
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  On-Demand Computing Usesgrid capabilities to meet short-term requirements for resources that are not locally accessible.
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  Data-Intensive Computing Thefocus is on synthesizing new information from data that is maintained in geographically distributed repositories, digital libraries, and databases. Particularly useful for distributed data mining.
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  Collaborative Computing Concernedprimarily with enabling and enhancing human-to-human interactions. Applications are often structured in terms of a virtual shared space.
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  Logistical Networking Globalscheduling and optimization of data movement. Contrasts with traditional networking, which does not explicitly model storage resources in the network. Called "logistical" because of the analogy it bears with the systems of warehouses, depots, and distribution channels.
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  Who Needs GridComputing? A chemist may utilize hundreds of processors to screen thousands of compounds per hour. Teams of engineers worldwide pool resources to analyze terabytes of structural data. Meteorologists seek to visualize and analyze data of climate with enormous computational demands.
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  Grid Users Griddevelopers Tool developers Application developers End Users System Administrators
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  Grid Developers Verysmall group. Implementers of a grid “protocol” who provides the basic services required to construct a grid.
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  Tool Developers Implementthe programming models used by application developers. Implement basic services similar to conventional computing services: User authentication/authorization Process management Data access and communication
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  Application Developers Constructgrid-enabled applications for end-users who should be able to use these applications without concern for the underlying grid. Provide programming models that are appropriate for grid environments and services that programmers can rely on when developing (higher-level) applications.
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  System Administrators Balancelocal and global concerns. Manage grid components and infrastructure. Some tasks still not well delineated due to the high degree of sharing required.
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  Some Highly-Visible GridsThe NASA Information Power Grid (IPG). The Distributed Terascale Facility (DTF) Project.
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  Software infrastructure Globus Condor Harness Legion IBP Net Solve
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  Globus started in1996 and is gaining popularity year after year. A project to develop the underlying technologies needed for the construction of computational grids. Focuses on execution environments for integrating widely-distributed computational platforms, data resources, displays, special instruments and so forth.
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  Condor The Condorproject started in 1988 at the University of Wisconsin-Madison. The main goal is to develop tools to support High Throughput Computing on large collections of computing resources.
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  Legion An object-based software project designed at the University of Virginia to support millions of hosts and trillions of objects linked together with high-speed links. Allows groups of users to construct shared virtual work spaces, to collaborate research and exchange information.
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  Harness A HeterogeneousAdaptable Reconfigurable Networked System A collaboration between Oak Ridge National Lab, the University of Tennessee, and Emory University.
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  IBP The InternetBackplane Protocol (IBP) is a middleware for managing and using remote storage. It was devised at the University of Tennessee to support Logistical Networking in large scale, distributed systems and applications.
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  NetSolve A client-server-agentmodel. Designed for solving complex scientific problems in a loosely-coupled heterogeneous environment.
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  CONCLUSION Grid Computinginvolves cost savings, speed of computation, and agility. The grid adjusts to accommodate the fluctuating data volumes that are a typical in the seasonal business. Grid Computing takes advantage of the fact that most of the computers in United States use their central processing units on average only 25% of the time for the work they have been assigned.
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  THANK YOU….