An analysis of distributed systems syllabi with a focus on performance-related topics
| Autor: | Cristina L. Abad, Edwin F. Boza, Alexandru Iosup, Eduardo Ortiz Holguin |
|---|---|
| Přispěvatelé: | Computer Systems, Network Institute, Massivizing Computer Systems |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
021110 strategic defence & security studies Computer science Scale (chemistry) Distributed computing 05 social sciences 0211 other engineering and technologies Context (language use) 02 engineering and technology SDG 10 - Reduced Inequalities Load balancing (computing) Replication (computing) 0506 political science Scheduling (computing) K.3.2 Computer Science - Computers and Society Elasticity (cloud computing) Computer Science - Distributed Parallel and Cluster Computing Scalability Computers and Society (cs.CY) 050602 political science & public administration Distributed Parallel and Cluster Computing (cs.DC) Curriculum |
| Zdroj: | ICPE 2021: Companion of the ACM/SPEC International Conference on Performance Engineering, 121-126 STARTPAGE=121;ENDPAGE=126;TITLE=ICPE 2021 Abad, C L, Iosup, A, Boza, E F & Holguin, E O 2021, An analysis of distributed systems syllabi with a focus on performance-related topics . in ICPE 2021 : Companion of the ACM/SPEC International Conference on Performance Engineering . Association for Computing Machinery, Inc, pp. 121-126, 2021 ACM/SPEC International Conference on Performance Engineering, ICPE 2021, Virtual, Online, France, 19/04/21 . https://doi.org/10.1145/3447545.3451197 ICPE (Companion) |
| DOI: | 10.1145/3447545.3451197 |
| Popis: | We analyze a dataset of 51 current (2019-2020) Distributed Systems syllabi from top Computer Science programs, focusing on finding the prevalence and context in which topics related to performance are being taught in these courses. We also study the scale of the infrastructure mentioned in DS courses, from small client-server systems to cloud-scale, peer-to-peer, global-scale systems. We make eight main findings, covering goals such as performance, and scalability and its variant elasticity; activities such as performance benchmarking and monitoring; eight selected performance-enhancing techniques (replication, caching, sharding, load balancing, scheduling, streaming, migrating, and offloading); and control issues such as trade-offs that include performance and performance variability. Accepted for publication at WEPPE 2021, to be held in conjunction with ACM/SPEC ICPE 2021: https://doi.org/10.1145/3447545.3451197 This article is a follow-up of our prior ACM SIGCSE publication, arXiv:2012.00552 |
| Databáze: | OpenAIRE |
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