Presentation of the seen topic

1. GRID COMPUTING
DERIVE PARALLEL OR DISTRIBUTED COMPUTING WITH THE AIM OF
PERFORMING OR SOLVING PROBLEMS BY DISTRIBUTING THEM IN
SMALLER PARTS FOR YOUR RESOLUTION BY DIFFERENT MACHINES
CONNECTED TO EACH OTHER THROUGH CONNECTION PROTOCOLS
IT IS DESIGNED TO SOLVE TECHNICAL OR SCIENTIFIC PROBLEMS
REQUIRING A LARGE AMOUNT OF COMPUTER PROCESSING AND ACCESS
TO LARGE AMOUNTS OF DATA

2. ADVENTAGES
• Processing power. By joining different computers, computing
capacity is increased
• It makes it easier for organizations to use computer resources more
efficiently. Applications can be executed by taking advantage of
computing capabilities not used by organizations
• Facilitates faster application execution
• Provides fault tolerance and redundancies
• High accessibility

3. DISADVENTAGES
• Need for permanent connectivity, security
and process and user control
• Communication networks, synchronization
and parallelism
• Difficulty in establishing common
standards and operating protocols by
linking different organizations and
enterprises normally located in different
cities, countries etc
• Technical Difficulty for Adaptation and
Problem Solving by Computing in Parallel

4. APPLICATIONS SUCCESSFULLY
• FIGHAISD@HOME
• GIMPS
• DIGITAL DIMENSION

5. COMPUTATION OF USEFULNESS
• It is a grid computing modality in which a
service provider has computer resource and
infrastructure management for customers
who need it.

6. GREEN COMPUTING
• Making efficient use of computer
resources with the aim of minimizing
environmental delivery by contributing to
the reduction of energy consumption and
CO2 emissions to the atmosphere
• The focus is on improving energy
efficiency, reducing the emission of
greenhouse gases, mainly CO2, as well as
carbon waste, material use and recycling