Outline of the tutorial of Dr. Rajkumar Buyya
Title: Utility-Oriented Grid Computing and the Gridbus
Subtitle: Building and Managing Utility Grids for Powering e-Science and e-Business Applications
Abstract and Outline:
Grid computing, one of the latest buzzwords in the ICT industry, is
emerging as a new paradigm for Internet-based parallel and distributing
computing. It enables the sharing, selection, and aggregation of
geographically distributed autonomous resources, such as computers (PCs,
servers, clusters, supercomputers), databases, and scientific instruments,
for solving large-scale problems in science, engineering, and commerce. It
leverages existing IT infrastructure to optimize compute resources and
manage data and computing workloads. The developers of Grids and Grid
applications need to address numerous challenges: security, heterogeneity,
dynamicity, scalability, reliability, service creation and pricing, resource
discovery, resource management, application dAbsecomposition and service
composition, and qualify of services. A number of projects around the world
are developing technologies that help address one or more of these
challenges. To address some of these challenges, the Gridbus Project at the
University of Melbourne has developed grid middleware technologies that (1)
enable the creation of Utility Grids, which provide economic incentive for
Grid service providers for sharing resources; and (2) support rapid
development and optimal deployment of eScience and eBusiness applications on
enterprise and global Grids. The components of Gridbus middleware are: Grid
application development environment for rapid creation of distributed
applications, Grid service broker and application scheduler, Grid workflow
management engine, SLA (service-level agreements) based Scheduler for
clusters, Web-services based Grid market directory (GMD), Grid accounting
services, Gridscape for creation of dynamic and interactive resource
monitoring portals, Portlets for creation of Grid portals that support
web-based management of Grid applications execution, and GridSim toolkit for
performance evaluation. In addition, Gridbus also includes a widely used
.NET-based enterprise Grid technology and Grid web services framework to
support the integration of both Windows and Unix-class resources for Grid
The tutorial covers the following topics:
1. Fundamental principles of grid computing and emerging technologies that
help in creation of Grid infrastructure and applications.
2. A Review of major international efforts in developing Grid software
systems and applications both in academic, research and commercial settings.
3. Service-Oriented Grid Architecture for realising utility computing
environment that supports resource sharing in research and commercial
environments. Realization of this architecture by leveraging standard
computing technologies (such as Web Services) and building new services that
are essential for constructing industrial-strength Grid engines.
4. Gridbus middleware and technologies for creating enterprise and global
5. Issues in setting up Grids that can scale from enterprise to global and
deploying applications on them.
6. Case studies on the use of Gridbus technologies in creating
applications in the area of Drug Discovery, Neuroscience, High Energy
Physics, Kidney Modelling, and Investment Risk Analysis.
7. Live demonstration of Gridbus technologies and their use in creating
and deploying sample applications on the World Wide Grid (WWG).
8. Sociological and industrial implications of this new Internet-based
distributed computing paradigm and its impact on the marketplace.
The tutorial places special emphasis on concepts of Grid economy, how to
design and develop Grid technologies and applications capable of dynamically
leasing services of distributed resources at runtime depending on their
availability, capability, performance, cost, and users' quality of service