Achieving application requirements
Distributed systems
Reasoning about naming systems
ACM Transactions on Programming Languages and Systems (TOPLAS)
Constraint satisfaction and debugging for interactive user interfaces
Constraint satisfaction and debugging for interactive user interfaces
A study on video browsing strategies
A study on video browsing strategies
The cubic mouse: a new device for three-dimensional input
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
A widget framework for augmented interaction in SCAPE
Proceedings of the 16th annual ACM symposium on User interface software and technology
Modeling and Simulation Design
Modeling and Simulation Design
| Hi-index | 0.00 |
Grid Computing is a collection of nodes (Computer Resources) from various administrative domains those are working for a common goal. When a num-ber of nodes are connected with each other for a common goal and sharing of resources takes place between them, a method is required for managing the resources and balancing the load between the nodes connected with each other. Managing the resources and balancing the load between them is a challenging task for that a number of methods have been proposed by which we can increase the throughput and maximum utilization of the resources. Grid computing is a very challenging area compares to other computing methods because of its features like heterogeneity autonomy, scalability, and adaptability and resource selection these features makes grid computing more hard. We require such methods by which we can manage the resources efficiently and balance the load between the nodes. In this paper we are trying to develop an approach by which we can minimize the execution time by balancing the load in tree architecture in which the load firstly balanced at local level then upper level and at last Grid Level.