Globus Toolkit in GRID
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GLOBUS TOOLKIT IN GRID
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.
Definition
Portal Server
MyProxyServer
MetadataDirectoryService(s)
Directory& indexServices
ApplicationFactoryServices
Messagingand group
collaboration
Event andlogging
Services
Types of Grid
Computational (Eg : downloading)
Scavenging(Eg : Using unused desktops)
Data(Eg : collaborated Firms)
COMPUTATIONAL GRID Computational Grid 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.
SCAVENGING GRID Scavenging grid 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.
.
DATA GRID Data 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 ToolkitGlobus toolkit is one of the ways to access the internet in an effective mannerFirewallsServer side(The code written in C language on only)Clientside(in any of the languages like C,C++, JAVA,ettc)
Problems Due To Multiple Downloading
Downloading huge number of files
Hang up of the system
Rebooting problem
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.
What GLOBUS TOOLKIT IN GRID will do?
Working of our Grid Model
Easy Accessing Through Globus toolkit while downloading
ADVANTAGES Effective content sharing Efficient downloading Maximum utilization of Resources Applicable for scientific and satellites applications
DISADVANTAGES Not applicable for small applications There is a chance for misuse of data
Potential Applications
High capacity computing, large-scale chip design .
Content sharing.
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 grid.
Cellular wireless networks are more constrained than traditional wired networks because of the limitations of bandwidth, processing power and memory.