Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization Article Swipe
Roozbeh Aghili
,
Qiaolin Qin
,
Heng Li
,
Foutse Khomh
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.12299
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.12299
Web applications, accessible via web browsers over the Internet, facilitate complex functionalities without local software installation. In the context of web applications, a workload refers to the number of user requests sent by users or applications to the underlying system. Existing studies have leveraged web application workloads to achieve various objectives, such as workload prediction and auto-scaling. However, these studies are conducted in an ad hoc manner, lacking a systematic understanding of the characteristics of web application workloads. In this study, we first conduct a systematic literature review to identify and analyze existing studies leveraging web application workloads. Our analysis sheds light on their workload utilization, analysis techniques, and high-level objectives. We further systematically analyze the characteristics of the web application workloads identified in the literature review. Our analysis centers on characterizing these workloads at two distinct temporal granularities: daily and weekly. We successfully identify and categorize three daily and three weekly patterns within the workloads. By providing a statistical characterization of these workload patterns, our study highlights the uniqueness of each pattern, paving the way for the development of realistic workload generation and resource provisioning techniques that can benefit a range of applications and research areas.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2409.12299
- https://arxiv.org/pdf/2409.12299
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403747079
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4403747079Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2409.12299Digital Object Identifier
- Title
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Understanding Web Application Workloads and Their Applications: Systematic Literature Review and CharacterizationWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
- Publication date
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2024-09-18Full publication date if available
- Authors
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Roozbeh Aghili, Qiaolin Qin, Heng Li, Foutse KhomhList of authors in order
- Landing page
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https://arxiv.org/abs/2409.12299Publisher landing page
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https://arxiv.org/pdf/2409.12299Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2409.12299Direct OA link when available
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Computer science, Characterization (materials science), Systematic review, Data science, World Wide Web, Political science, MEDLINE, Nanotechnology, Materials science, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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