GRID COMPUTING SEMINAR

[born_for seminars]

CONTENTS
1) Defination
What is grid?
2)History
3)The grid
4)Grid computing characteristics
1)Diversity
2)Decentralization
3)Dynamism
5)Types of Grid
1)computational grid
2)Scavenging grid
3)Data grid
6)The grid tools
1)Directory services
2)Schedulers and load balancers
3)developer tools
4)security
7)Grid components
a)portal/user interface
b)security
c) Broker
d)Scheduler
e)Data Management
f)Job and resource management
g)Job flow in Grid environment
8)Advantages
9)Disadvantages
10)Conclusion
ABSTRACT
In this paper we propose a new architecture for grid computing service which allows grid users to do any kind of computation that needs any type of hardware or software resource, with limited resources at the user side. The proposed grid computing service takes into account both hardware and sofware requierements of the submitted computing task. On other hand our grid system needs to maximize the overall system throughput, minimize the user responce time, and allow good grid resources utilization. On this aspect we propose a scheduling algorithm which allows task allocation and an adaptive load balance operations to achieve the desired goals..
The resource access and management is one of the most important key factors for grid computing. It requires a mechanism with automatically making decisions ability to support computing tasks collaborating and scheduling. The agent union's social activity model is one of the most suitable candidates for resource management in grid computer system. While there is no an efficient model and framework so far, this paper proposed a method for grid computing based on agent union. The method, which used agent union ' s society activities as exchange and schedule foundation, has realized an efficient resource control and management framework in grid computing with media service, policy management and dynamic negotiation in agent union.

The growing popularity of the Internet along with the availability of powerful computers and high-speed networks as low-cost commodity components are helping to change the way we do computing. These new technologies are enabling the clustering of a wide variety of geographically distributed resources, such as supercomputers, storage systems, data sources, and special devices, that can then be used as a unified resource and thus form what is popularly known as a “Computational Grids”. The Grid is analogous to power (electricity) grid and aims to couple distributed resources and offer consistent and inexpensive access to resources irrespective of their physical location.