Opportunities and Challenges for Future Generation Grid Research

Abstract

Grid systems are now a standard approach to solving problems in large scale, multidisciplinary scientific endeavors. These research groups are often geographically distributed, and to conduct their research, they need to share access to physical resources such as supercomputers, large databases, on-line instruments and distributed applications. Grid infrastructure helps solve their problems because it can provide a layer of middleware that virtualizes the access to these resources. The users see a single coherent computer system instead of a complex network of distributed resources. In most cases, users enter the grid though a ”gateway” portal, which may be a web portal or a ”thick” desktop client. The gateway gives the user a way to browse metadata about computational experiments to access data products, to monitor active workflows and to run applications and share results. The user can focus on the problems of science and not computer systems. All of this is made possible because of the Service Oriented Architecture (SOA) that underlies the core Grid middleware.

In this presentation, we will look at several examples of successful Scientific Grids and Gateways. We will also describe the fundamentals of the web service SOAs that works best in Grid systems. We will illustrate these ideas with an example called LEAD which is a Grid designed to improve our ability to predict meso-scale weather events such as hurricanes, typhoons and tornadoes. We will also describe how this entire approach to service virtualization is now being used in industry to better use the resources of a single, but distributed business enterprise. While a great deal of progress has been made there are many exciting and unsolved problems. As we go through the talk, we will highlight these challenges and research opportunities.