Predictive online server provisioning for cost-efficient IoT data streaming across collaborative edges

Zhi Zhou, Xu Chen, Weigang Wu, Di Wu, Junshan Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Edge computing is envisioned to be the de-facto paradigm of hosting emerging low latency Internet-of-Things (IoT) data streaming services.For IoT data streaming in edge computing, cost management is of strategic significance, due to the low cost-efficiency of edge servers. While existing literature adopts a reactive approach to dynamically provisioning edge servers to reduce cost, the delay of server activation and instantiation has been mostly ignored. In this paper, we target a proactive approach to dynamic edge server provisioning for real-time IoT data streaming across edge nodes, which adjusts server provisioning ahead of time, based on prediction of the upcoming workload. To effectively predict upcoming workload, a learning-based method online gradient descent is applied. We further combine the online learning method with an online optimization algorithm for server provisioning in a joint online optimization framework, through (1) minimizing of the regret incurred by inaccurate workload prediction, and (2) minimizing the cost incurred by near-optimal online decisions. The resulting predictive online algorithm can well leverage the power of prediction and achieve a good performance guarantee, as verified by both rigorous theoretical analysis and extensive trace-driven evaluations.

Original languageEnglish (US)
Title of host publicationMobihoc 2019 - Proceedings of the 2019 20th ACM International Symposium on Mobile Ad Hoc Networking and Computing
PublisherAssociation for Computing Machinery
Pages321-330
Number of pages10
ISBN (Electronic)9781450367646
DOIs
StatePublished - Jul 2 2019
Event20th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2019 - Catania, Italy
Duration: Jul 2 2019Jul 5 2019

Publication series

NameProceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)

Conference

Conference20th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2019
CountryItaly
CityCatania
Period7/2/197/5/19

Keywords

  • Edge computing
  • IoT data streaming
  • Online learning
  • Online optimization
  • Server provisioning

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Software

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  • Cite this

    Zhou, Z., Chen, X., Wu, W., Wu, D., & Zhang, J. (2019). Predictive online server provisioning for cost-efficient IoT data streaming across collaborative edges. In Mobihoc 2019 - Proceedings of the 2019 20th ACM International Symposium on Mobile Ad Hoc Networking and Computing (pp. 321-330). (Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)). Association for Computing Machinery. https://doi.org/10.1145/3323679.3326530