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Operational Characterization of a Public Scientific Datacenter During\n and Beyond the COVID-19 Period

2021/10/23 by Mehmet Berk Cetin, Cetin, Mehmet Berk
Computer Science · Decision Sciences · #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #Scientific Computing and Data Management #Software System Performance and Reliability #and Cluster Computing (cs.DC)

paper · pdf · doi:10.48550/arxiv.2110.12244

openalex publication_date 2021/10/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Datacenters are imperative for the digital society. They offer services such\nas computing, telecommunication, media, and entertainment. Datacenters,\nhowever, consume a lot of power. Thus, Improving datacenter operations is\nimportant and may result in better services, reduced energy consumption and\nreduced costs. To improve datacenters, we must understand what is going on\ninside them. Therefore, we use operational traces from a scientific cluster in\nthe Netherlands to investigate and understand how that cluster operates. Due to\nwork-from-home circumstance, the covid period might have changed our daily\nusage of online applications, such as zoom and google meet. In this research,\nwe focus on the operations of a scientific cluster (LISA) inside the SURF\ndatacenter. The global pandemic might have changed how the LISA cluster\noperates. To understand the change, we collect, combine, and analyze\noperational logs from the LISA cluster. The tool to collect the data that\nbelongs to the non-covid period was accomplished in previous research.\nNonetheless, both the tool and instrument to combine and analyze the traces are\nlacking. This research focuses on designing an instrument that can combine and\nanalyze the traces during and before the coronavirus period. The instrument can\nalso produce graphs for customarily selected rack, nodes and periods. Moreover,\nwe characterize the traces that belong to the coronavirus period using the\nscientific instrument and additional tools. The outcome of this research helps\nus understand how the operations for a scientific cluster (LISA) in the\nNetherlands has changed after the global pandemic.\n

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