Presentation Title: Quality of Service based Data-aware Scheduling

Committee:

• Dr. Gabrielle Allen (Chair)
• Dr. Tevfik Kosar
• Dr. Sitharama Iyengar
• Dr. Supratik Mukhopadhyay
• Dr. Shahab Mehraeen (Dean’s Representative)

Date: Apr 15, 2011
Time: 02:15 PM
Location:338 Johnston Hall(Training Room)

Abstract:
Distributed supercomputers have been widely used for solving complex computational problems and modeling complex phenomena such as black holes, the environment, supply-chain economics, etc. In this work we analyze the use of these distributed supercomputers for time sensitive data-driven applications. We present the scheduling challenges involved in running deadline sensitive applications on shared distributed supercomputers running large parallel jobs and introduce a ``data-aware'' scheduling paradigm that overcomes these challenges by making use of Quality of Service classes for running applications on shared resources. We evaluate the new data-aware scheduling paradigm using an event-driven hurricane simulation framework which attempts to run various simulations modeling storm surge, wave height, etc. in a timely fashion to be used by first responders and emergency officials. We further generalize the work and demonstrate with examples how data-aware computing can be used in other applications with similar requirements.


All are invited.