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Some IEEE papers on Grid Job scheduling.. worth to study

  1. Ant Colony Algorithm for Job Scheduling in Grid Computing.pdf
  2. A Secure Resource and Job scheduling Model with Job Grouping strategy in Grid Computing
  3. A Memory-Aware Dynamic Job Scheduling Model in Grid Computing
  4. G RID TS: A New Approach for Fault-Tolerant Scheduling in Grid Computing
  5. A New Resource Scheduling Model with Bandwidth Aware Job Grouping Strategy in Grid Computing
  6. Cost-effective Heuristics for Workflow Scheduling in Grid Computing Economy
  7. Adaptive Task Scheduling in Grid Computing Environments
  8. A Heuristic on Job Scheduling in Grid Computing Environment
  9. A Heuristic Scheduling Algorithm for Computing of Power Grid
  10. A Modified Simulated Annealing Algorithm for Static Task Scheduling in Grid Computing
  11. An adaptive grouping based Job Scheduling in Grid Computing Read more…
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Categories: IEEE Papers, Uncategorized

Grid computing products

April 26, 2012 Leave a comment

There are many Grid computing products in the market, but we will focus on only few selective products considered to be among leaders in Grid Computing Arena.

 IBM Grid Toolbox (Globus)

The IBM Grid Toolbox is a package available from IBM that includes the Globus Toolkit. Also included in the package is additional documentation and custom installation scripts written for IBM hardware running Linux and AIX. These install scripts include the installp images for AIX and RPMs for Linux.

The Globus Toolkit is an open source software with development being led by Argonne National Laboratory, the University of Southern California, and the University of Chicago. There are three main components in the Globus Toolkit:

Resource management (GRAM)
Information services (MDS)
Data management (GridFTP)

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Categories: Uncategorized

What Grid computing can DO?

March 18, 2012 Leave a comment

When you deploy a grid, it will be to meet a set of customer requirements. To better match grid computing capabilities to those requirements, it is useful to keep in mind the reasons for using grid computing.

Exploiting underutilized resources

The easiest use of grid computing is to run an existing application on a different machine. The machine on which program usually run might have peak in activity, hence short of resources. But there are at least two prerequisites for this scenario.

First, the application must be executable remotely and without undue overhead.

Second, the remote machine must meet any special hardware, software, or resource requirements imposed by the application.

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Categories: Uncategorized