Effective low capacity status prediction for cloud systems

Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

In cloud systems, an accurate capacity planning is very important for cloud provider to improve service availability. Traditional methods simply predicting "when the available resources is exhausted"are not effective due to customer demand fragmentation and platform allocation constraints. In this paper, we propose a novel prediction approach which proactively predicts the level of resource allocation failures from the perspective of low capacity status. By jointly considering the data from different sources in both time series form and static form, the proposed approach can make accurate LCS predictions in a complex and dynamic cloud environment, and thereby improve the service availability of cloud systems. The proposed approach is evaluated by real-world datasets collected from a large scale public cloud platform, and the results confirm its effectiveness.

Original languageEnglish
Title of host publicationESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
EditorsDiomidis Spinellis, Georgios Gousios, Marsha Chechik, Massimiliano Di Penta
PublisherAssociation for Computing Machinery (ACM)
Pages1236-1241
Number of pages6
ISBN (Print)9781450385626
DOIs
Publication statusPublished - 18 Aug 2021
Event29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2021 - Virtual, Online, Athens, Greece
Duration: 23 Aug 202128 Aug 2021
https://2021.esec-fse.org/
https://dl.acm.org/doi/proceedings/10.1145/3468264

Publication series

NameProceedings of ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Conference

Conference29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2021
Country/TerritoryGreece
CityAthens
Period23/08/2128/08/21
Internet address

Scopus Subject Areas

  • Artificial Intelligence
  • Software

User-Defined Keywords

  • capacity prediction
  • cloud computing
  • feature embedding
  • software reliability

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