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Full-Text Articles in Physical Sciences and Mathematics
Quality Of Service Based Data-Aware Scheduling, Archit Kulshrestha
Quality Of Service Based Data-Aware Scheduling, Archit Kulshrestha
LSU Doctoral Dissertations
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 …
Choosing Between Remote I/O Versus Staging In Distributed Environments, Ibrahim Hakki Suslu
Choosing Between Remote I/O Versus Staging In Distributed Environments, Ibrahim Hakki Suslu
LSU Doctoral Dissertations
Today, scientifi_x000C_c applications and experiments have become increasingly complex and more demanding in terms of their computational and data requirements. The amount of data generated and used has grown at a very rapid rate. As tens or hundreds of terabytes of data for a single application is very common today; petabytes and even exabytes of data will be very common in a few years. One of the major challenges in distributed computing environments is how to access these large datasets remotely over the network. Data staging and remote I/O are the most widely used data access methods for distributed applications. …