An analysis of distributed systems syllabi with a focus on performance-related topics

Cristina L. Abad, Alexandru Iosup, Edwin F. Boza, Eduardo Ortiz Holguin

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

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.

Original languageEnglish
Title of host publicationICPE 2021
Subtitle of host publicationCompanion of the ACM/SPEC International Conference on Performance Engineering
PublisherAssociation for Computing Machinery, Inc
Pages121-126
Number of pages6
ISBN (Electronic)9781450383318
DOIs
Publication statusPublished - Apr 2021
Event2021 ACM/SPEC International Conference on Performance Engineering, ICPE 2021 - Virtual, Online, France
Duration: 19 Apr 202121 Apr 2021

Conference

Conference2021 ACM/SPEC International Conference on Performance Engineering, ICPE 2021
Country/TerritoryFrance
CityVirtual, Online
Period19/04/2121/04/21

Bibliographical note

Funding Information:
We thank the anonymous WEPPE reviewers that thoroughly read our paper and provided invaluable feedback that helped improve the quality of this manuscript. Part of this work was sponsored by a Google Faculty Research Award (CA, EB), and the NWO (AI), projects MagnaData and OffSense.

Publisher Copyright:
© 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

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