The document discusses grid computing, which connects many computers together into a network to solve large problems requiring massive computing power. It provides high-speed connections that are 10,000 times faster than broadband. Grid computing shares and aggregates resources like supercomputers, storage, and data sources across geographic locations. It has the potential to greatly change business, science, and society by enabling new forms of collaboration and computation. Developers must design applications to take advantage of this distributed, parallel environment.

1. BY
Sonalisa Mishra
Regdno.0805401011
Branch :MCA

2.  The Grid is super fast internet service.
 10,000 faster than broadband services.
 High-speed computing network project started
7 years ago
 The World Wide Web gave us a taste, but the
Grid gives a vision of an ICT (Information
and Communication Technology)enabled
world.

3.  The Grid evolved from the early desire to
connect supercomputers into
"metacomputers" that could be remotely
controlled.
 The word "grid" was borrowed from the
electricity grid, to imply that any compatible
device could be plugged in anywhere on the
Grid and be guaranteed a certain level of
resources

4.  Grid Computing is applying the resources of
many computer in a n/w to a single problem at
the same tome usually to a scientific or a
technical problem that requires a great
number of computer processing cycles or
access to a large amount of data .

5.  The Grid would be the next big thing in the
Internet. In fact, it’d be a new technology or a
mass of computer networks that would
increase the Internet speed dramatically.
 Grid enable the sharing ,selection and
aggregation of wide variety of resources
including super computers ,storage systems
data a sources and specialized devices that
are geographically distributed .

6.  COMPUTATIONAL SERVICES:-responsible
for providing secure services for executing
application jobs on distributed computational
resource individually or collectively.
 DATA SERVICES:-These are concerned with
secure access to distributed datasets and their
management.
 APPLICATION SERVICES:-These are
concerned with application management and
providing access to remote s/w and libraries
transparently.

7.  INFORMATION SERVICES:-These are
concerned with extraction and representation
of data with meaning by using the services of
computational , data and application services.
 KNOWLEDGE SERVICES:-responsible for
the way knowledge is acquired used retrieved
published and maintained to assist users in
achieving their goals.

8.  Grid computing is divided into three logical
level of deployment:-
Cluster Grids consist of multiple system
interconnected through a n/w.
 Enterprise Grid multiple cluster grids
combine to form enterprise grid when
capacity increases.
 Global Grid are collection of enterprise grids.

9. Four main aspects characterize a grid:
1.Multiple administrative domains and
autonomy:
2. Heterogeneity
3. Scalability
4. Dynamicity or adaptability

10. Grid architecture is basically describe in a from
of layered architecture or we follow the
principles of the “hourglass model”. There
are basically five layers;
 Fabric:Interfaces to Local Control
The Grid Fabric layer provides the
resources to which shared access is mediated
by Grid protocols.

12.  Connectivity: Communicating Easily and
Securely
The Connectivity layer defines core
communication and authentication protocols
required for Grid-specific network
transactions.

13.  Resource: Sharing Single Resources
The Resource layer builds on Connectivity
layer communication and authentication
protocols to define protocols for the secure
negotiation, initiation, monitoring, control,
accounting, and payment of sharing
operations on individual resources.

14.  Collective: Coordinating Multiple Resources
While the Resource layer is focused on
interactions with a single resource, the next layer
in the architecture contains protocols and
services that are not associated with any one
specific resource but rather are global in nature.
 Applications
The final layer in our Grid architecture
comprises the user applications that operate
within a environment.

15. Building on experiences in gigabit testbeds,
the I-WAY network, and other experimental
systems, we have identified five major
application classes for computational grids.
 Distributed Supercomputing
 High-Throughput Computing
 On-Demand Computing
 Data-Intensive Computing
 Collaborative Computing

16.  Better utilization of resources
 Increased user productivity
 Scalability
 Flexibility

17.  Projects like the grid will bring huge changes in
business and society as well as science.
 “Holographic video conferencing is not that far
away. Online gaming could evolve to include
many thousands of people, and social networking
could become the main way we communicate.
 “The history of the internet shows you cannot
predict its real impacts but we know they will be
huge.”

18.  Grid computing has many promises
 Making today’s computing easier by managing resources
better
 Creating an environment for advanced apps of tomorrow
 Inorder to do this, your applications must be
portable!
 Rethink your problems for the Grid Computer
 Distributed computing, grid threads, etc
 Other forms of parallelism: Task farming, spawning,
migration
 Data access, data mining etc: all much more powerful.