Globus Toolkit in GRID

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Information about Globus Toolkit in GRID

Published on February 25, 2014

Author: RamohanCHINTA



Definition 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.

Event and logging Services Messaging and group collaboration Portal Server MyProxy Server Application Factory Services Metadata Directory Service(s) Directory & index 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 Toolkit Globus toolkit is one of the ways to access the internet in an effective manner Firewalls Server 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 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

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.

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