creator Zhou, Zhou advisor Lan, Zhiling In the field of high performance computing (HPC), batch scheduling plays a critical role. They determine when and how to process the various jobs waiting for service. Conventional batch schedulers allocate user jobs solely based on their CPU footprints. However, for a given user job, it requires many different resources during its execution, such as power, network, I/O bandwidth, etc. Today’s job schedulers rarely take into account these resource requirements which sometimes turn out to be the Achilles’ heel of system-wide performance. In this research, we propose a multi-dimensional batch scheduling framework for high-end supercomputers. Our research aims to treat these common but often ignored resources (e.g., power, network, bandwidth) as schedulable resource and further transform each scheduling into a multi-objective optimization process. Our main contributions consist of a set of scheduling models and policies, aiming at addressing the issues in batch scheduling for large-scale production supercomputers. We evaluate our design by means of trace-based simulations using real workload and performance traces from production systems. Experimental results show our methods can effectively improve batch scheduling regarding user satisfaction, system performance and operating cost. Submitted by Erma Thomas (thomase@iit.edu) on 2016-07-14T22:46:06Z No. of bitstreams: 1 etdadmin_upload_419159.zip: 1870681 bytes, checksum: 92ef6bc973a487fca191981eed764620 (MD5) Made available in DSpace on 2016-07-14T22:46:06Z (GMT). No. of bitstreams: 1 etdadmin_upload_419159.zip: 1870681 bytes, checksum: 92ef6bc973a487fca191981eed764620 (MD5) Previous issue date: 2016-05 Ph.D. in Computer Science, May 2016 2016 2016-05 http://hdl.handle.net/10560/3843 en high-performance computing job scheduling resource management simulation system modeling Dissertation born digital application/pdf In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access CS / Computer Science Illinois Institute of Technology Affiliated department