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Model. Comput. Simul."],"published-print":{"date-parts":[[2017,4,30]]},"abstract":"<jats:p>As parallel and distributed systems are evolving toward extreme scale, for example, high-performance computing systems involve millions of cores and billion-way parallelism, and high-capacity storage systems require efficient access to petabyte or exabyte of data, many new challenges are posed on designing and deploying next-generation interconnection communication networks in these systems. Fat-tree networks have been widely used in both data centers and high-performance computing (HPC) systems in the past decades and are promising candidates of the next-generation extreme-scale networks. In this article, we present FatTreeSim, a simulation framework that supports modeling and simulation of extreme-scale fat-tree networks with the goal of understanding the design constraints of next-generation HPC and distributed systems and aiding the design and performance optimization of the applications running on these systems. We have systematically experimented FatTreeSim on Emulab and Blue Gene\/Q and analyzed the scalability and fidelity of FatTreeSim with various network configurations. On the Blue Gene\/Q Mira, FatTreeSim can achieve a peak performance of 305 million events per second using 16,384 cores. Finally, we have applied FatTreeSim to simulate several large-scale Hadoop YARN applications to demonstrate its usability.<\/jats:p>","DOI":"10.1145\/2988231","type":"journal-article","created":{"date-parts":[[2017,7,7]],"date-time":"2017-07-07T12:17:18Z","timestamp":1499429838000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Modeling and Simulation of Extreme-Scale Fat-Tree Networks for HPC Systems and Data Centers"],"prefix":"10.1145","volume":"27","author":[{"given":"Ning","family":"Liu","sequence":"first","affiliation":[{"name":"Cleversafe, an IBM Company"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adnan","family":"Haider","sequence":"additional","affiliation":[{"name":"Illinois Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong","family":"Jin","sequence":"additional","affiliation":[{"name":"Illinois Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xian-He","family":"Sun","sequence":"additional","affiliation":[{"name":"Illinois Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,7,6]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2208917.2208919"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1402946.1402967"},{"key":"e_1_2_1_3_1","volume-title":"Proceedings of the 7th USENIX Conference on Networked Systems Design and Implementation (NSDI\u201910)","author":"Al-Fares Mohammad","year":"2010"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/215399.215427"},{"key":"e_1_2_1_5_1","volume-title":"1 ExaScale Software Study: Software Challenges in Extreme Scale Systems","author":"Amarasinghe Saman","year":"2009"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/336146.336157"},{"key":"e_1_2_1_7_1","volume-title":"Proceedings of the Workshop on Emerging Supercomputing Technologies (WEST\u201911)","author":"Cope J."},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/1924551.1924553"},{"key":"e_1_2_1_9_1","volume-title":"Global Cloud Index: Forecast and Methodology","year":"2013"},{"key":"e_1_2_1_10_1","unstructured":"ClusterDesign.org. 2015. 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