Software as a Service Framework to Execute Scientific Applications in Federated Environments

The complexity of many problems in science and engineering requires computational capacity greatly exceeding what average user can expect from a single computational center. While many of these problems are conveniently parallel, their collective complexity exceeds computational time and throughput that average user can obtain from a single computational center. Therefore it is needed to aggregate the computational power of different centers geographically distributed to create a federation of resources that can work together. However, since this involves the orchestration of multiple resources, it may be difficult to use by many scientist. For this reason, in this project we are going to develop a Software as a Service framework to ease the access to both resources and application while hidding the underlying details. Autonomic computing techniques will be used to allow users to specify the resources they want to use and when they want to use it. This project is going to be performed by a goup of high school students as part of the New Jersey Governor’s School of Engineering and Technology.