INSTITUTE OF ENGINEERING & TECHNOLOGY,
KHANDARI, AGRA
Seminar
On
Grid Computing
Presented by - Kaptan Sing
Roll No : 2209005374024
Content
Introduction
What is Grid Computing
Who can use Grid Computing
Application
How Grid Computing Works
Architecture
Content
Grid Security Model
Types of Grid
Advantages
Disadvantages
Conclusion
Introduction
Since its introduction, the concept of grid
computing has acquired great popularity,
even greater than the Web itself had at its
beginning.
The concept has not only found its place
within numerous science projects (in
medicine e.g.), but is also being used for
various commercial applications.
What is Grid Computing?
Grid computing is a type of data management
and computer infrastructure, designed as a
support primarily for scientific research, but,
as said in the introduction, also used in
various commercial concepts, business
research, entertainment and finally by
governments of different countries.
Who can use grid computing
Governments and International
Organizations
The military
Teachers and educators
Businesses
Grid Computing Applications
One of the most tantalizing applications of
radio astronomy is the observation of radio
signals as part of Searches for Extra
Terrestrial Intelligence (SETI).
The vast amount of computing capacity
required for SETI radio signal processing
has led to a unique grid computing concept
that has now been expanded to many
applications.
Grid architecture
Fabric layer: Provides the resources to which shared
access is mediated by Grid protocols.
Connectivity layer: Defines the core communication
and authentication protocols required for grid-specific
network functions.
Resource layer: Defines protocols, APIs, and SDKs for
secure negotiations, initiation, monitoring control,
accounting and payment of sharing operations on
individual resources.
Collective Layer: Contains protocols and services that
capture interactions among a collection of resources.
Application Layer: These are user applications that
operate within VO environment.
Grid Security Model
TYPES OF GRID
• Computational Grid
• Scavenging Grid
• Data Grid
Computational Grid
• A 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
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
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.
Advantages
Increased user productivity: By
providing transparent access to resources,
work can be completed more quickly.
Scalability: Grids can grow seamlessly
over time, allowing many thousands of
processors to be integrated into one cluster.
Flexibility: Grid computing provides
computing power where it is needed most,
helping to better meet
dynamically changing work loads.
Disadvantages
1) for memory hungry applications that can't take
advantage of MPI you may be forced to run on a
large SMP.
2) you may need to have a fast interconnect
between compute resources (gigabit ethernet at a
minimum). Infobahn for MPI intense applications.
3) some applications may need to be tweaked to
take full advantage of the new model.
Disadvantages…
4) Licensing across many servers may make
it prohibitive for some apps. Vendors are
starting to be more flexible with
environment like this.
Areas that already are taking good
advantage of grid computing include
bioinformatics, cheminformatics, and oil &
drilling, and financial applications.
CONCLUSION
Grid computing introduces a new concept to
IT infrastructures because it supports
distributed computing over a network of
heterogeneous resources and is enabled by
open standards.
Thanks….!!!!
Any question……..??????
