A Grid is a collection of distributed computing resources available over
a local or a wide area network that appear to an end user or application
as one large virtual computing system.
Types of Grid
Computational (Eg : downloading)
Scavenging(Eg : Using unused desktops)
Data(Eg : collaborated Firms)
computational grid is focused on setting
aside resources specifically for computing
power. In this type of grid, most of the
machines are high-performance servers.
A scavenging grid is most commonly
used with large numbers of desktop machines.
Machines are scavenged for available CPU
cycles and other resources. Owners of the
desktop machines are usually given control
over when their resources are available to
participate in the grid.
A data grid is responsible for housing and
providing access to data across multiple
organizations. Users are not concerned with
where this data is located as long as they have
access to the data
Globus toolkit is one of the
ways to access the internet in
an effective manner
Server side(The code
written in C language on
Clientside(in any of the
languages like C,C++,
Problems Due To Multiple Downloading
Downloading huge number of files
Hang up of the system
What GLOBUS TOOLKIT IN GRID will do?
The Globus Project provides open source software tools that make it
easier . These tools are collectively called the Globus Toolkit. Globus
Toolkit is the open source Grid technology for computing and data Grids.
Working of our Grid Model
Easy Accessing Through Globus toolkit while downloading
Effective content sharing
Maximum utilization of Resources
Applicable for scientific and satellites applications
Not applicable for small applications
There is a chance for misuse of data
High capacity computing, large-scale chip design .
Remote software access
Make effective use of computing resources.
Reduce significantly the number of servers needed.
Limitations of Grid Computing
Not every application is suitable or enabled for running on a
Cellular wireless networks are more constrained than
traditional wired networks because of the limitations of
bandwidth, processing power and memory.