Application Scheduling on the Information Power Grid

One of the compelling reasons for developing the Information Power Grid (IPG) is to provide a platform for more rapid development and execution of simulations and other resource-intensive applications. However, the IPG will ultimately not be successful unless users and application developers can achieve execution performance for their codes. In this paper, we describe a performance-efficient approach to scheduling applications in dynamic multiple-user distributed environments such as the IPG. This approach provides the basis for application scheduling agents called {\bf AppLeS}. We describe the AppLeS methodology and discuss the lessons learned from the development of AppLeS for a variety of distributed applications. In addition, we describe an AppLeS-in-progress currently being developed for NASA's INS2D code, a distributed "parameter sweep" application.Pre-2018 CSE ID: CS2000-064