Tutorial:

Title:           The Gridbus Toolkit: Creating and Managing Utility Grids for eScience and eBusiness Applications

Speaker:     Dr. Rajkumar Buyya (The University of Melbourne, Australia)

Abstract:
　

In spite of a number of advances in Grid computing, resource management  and application scheduling in such environments continues to be a  challenging and complex undertaking. This is due to geographic  distribution of Grid resources owned by different organizations with  different usage policies, cost models and varying load and availability  patterns with time. This tutorial introduces fundamental principles of  Grid computing and computational economy and discusses how they impact on  emerging Computational and Data Grid technologies. It identifies resource  management challenges and presents a Grid Architecture for Computational  Economies that can be realized by leveraging existing technologies. It  then introduces new challenges and requirements introduced by the Grid  Economy on Grid Service Providers (GSPs) and Grid Service Consumers. We  present solutions to these challenges based on our experience in designing  and developing computational and Data Grid technologies such as Nimrod-G,  GridSim, Gridbus (e.g., Grid Market Directory, Grid Bank, Grid Service  Broker, Grid Federation) and their utilization in driving  eScience and  eBusiness applications such as molecular docking, natural language  processing, and portfolio analysis.

Outline of the Tutorial:

 - Grid Challenges
 - Grid Resource Management Challenges
 - A Case for Grid Economy
 - Service Oriented Grid Architecture and Grid Economy
 - Economic Models for Grid Computing
 - A Grid Service Publication Directory
 - Virtual Organization Services and Grid Economy
 - Grid Service Pricing Issues
 - Grid Bank and Grid Accounting Services Architecture
 - Grid Resource Broker
 - Economic Scheduling Algorithms for Computational Grids
 - Economic Scheduling Algorithms for Data Grids
 - A Case Study in Grid Economy based Systems such as Nimrod-G and Gridbus

 - A Case Study in Creation of Grid Applications from Legacy Software
   Components - Demonstration of On Demand Application Deployment and
   Resource Provisioning within a Grid Economy Environment
 - Advance Reservation and Grid Economy
 - Grid Simulator
 - Evaluation of Optimisation Strategies
 - Performance Metrics
 - Simulation and Experimental Results
 - Open Research Opportunities in Grid Economy
 - Summary and Concluding Remarks