GRID COMPUTING

GRID COMPUTING

Grid Computing is a technique in which the idle systems in the Network and their “wasted” CPU cycles can be efficiently used by uniting pools of servers, storage systems and networks into a single large virtual system for resource sharing dynamically at runtime.- High performance computer clusters.-share application, data and computing resources.

IMPORTANCE OF GRID COMPUTING
 Flexible, Secure, Coordinated resource sharing.
 Virtualization of distributed computing resources.
 Give worldwide access to a network of distributed resources.

GRID REQUIREMENTS
 Security
 Resource Management
 Data Management
 Information Services
 Fault Detection
 Portability

TYPES OF GRID
 Computational Grid-computing power
 Scavenging Grid-desktop machines
 Data Grid-data access across multiple organizations

ARCHITECTURAL OVERVIEW

• Grid’s computer can be thousands of miles apart and connected with internet networking technologies.
• Grids can share processors and drive space.

Fabric : Provides resources to which shared access is mediated by grid protocols.

Connectivity : Provides authentication solutions.

Resources : Connectivity layer, communication and authentication protocols.

Collective : Coordinates multiple resources.

Application : Constructed by calling upon services defined at any layer.

GRID COMPONENTS

In a world-wide Grid environment, capabilities that the infrastructure needs to support include: Remote storage

 Publication of datasets

 Security

 Uniform access to remote resources

 Publication of services and access cost

 Composition of distributed applications

 Discovery of suitable datasets

 Discovery of suitable computational resources

 Mapping and Scheduling of jobs

 Submission, monitoring, steering of jobs execution

 Movement of code

 Enforcement of quality

 Metering and accounting

GRID LAYERS

 Grid Fabric layer

 Core Grid middleware

 User-level Grid middleware

 Grid application and protocols

OPERATIONAL FLOW FROM USER’S PERSPECTIVE

• Installing Core Gridmiddleware
• Resource brokering and application deployment services

COMPONENT INTERACTION

- Distributed application

- Grid resource broker

- Grid information service

- Grid market directory

- Broker identifies the list of computational resources

- Executes the job and returns results

- Metering system passes the resource information to the accounting system

- Accounting system reports resource share allocation to the user

PROBLEM AND PROMISESPROBLEMS

- Coordinated resource sharing and problem solving in dynamic, institutional organizations

- Improving distributed management

- Improving the availability of data

- Providing researchers with a uniform user friendly environmentPROMISES

- Grid utilizes the idle time

- Its ability to make more cost effective use of resources

- To solve problems that can’t be approached without any enormous amount of computing power.

CONCLUSION

- Grid Computing is becoming the platform for next generation escience experiments

- By Intranet Grid it is very easy to download multiple files