Fine-Grained Service Lifetime Optimization for Energy-Constrained Edge-Edge Collaboration

Haodong Zou, Jianxiong Guo, Jiandian Zeng, Yupeng Li, Jiannong Cao, Tian Wang*

*Corresponding author for this work

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

Abstract

Collaborative edge computing has been widely advo-cated by network operators and service providers to promote the quality of service (QoS), provisioning diverse delay-sensitive and computation-intensive applications. Existing studies mainly focus on cloud-edge collaboration, since cloud servers have massive resources to provide diverse services and edge servers can provide low-delay services with close proximity to end users. However, in scenarios that capture privacy, e.g., personal bioinformation and business areas, there is a great need for zero cloud involvement. Moreover, current edge servers are typically energy-constrained, which poses great challenges in enabling high-QoS services in ever-densely deployed edge networks. To tackle these issues, in this paper, we study the energy-constrained edge-edge collaboration problem. First, we formulate the edge-edge collaboration with delay minimization and energy reduction aims and prove its NP-hardness. Second, we propose a novel Fine-Grained Service Lifetime Optimization (FGSLO) scheme as a possible solution. The problem is then transformed and decoupled into three sub-problems, namely service placement, service lifetime decision, and task scheduling, which are solved by our proposed method, respectively. Finally, real-world data-driven experimental results show that FGSLO is capable of reducing 21.4%90.1 % system delay in different energy-constrained scenarios, compared to baselines without service lifetime control.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 44th International Conference on Distributed Computing Systems, ICDCS 2024
PublisherIEEE
Pages565-576
Number of pages12
ISBN (Electronic)9798350386059
DOIs
Publication statusPublished - 23 Jul 2024
Event44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024 - Jersey City, United States
Duration: 23 Jul 202426 Jul 2024
https://icdcs2024.icdcs.org/
https://icdcs2024.icdcs.org/accepted-papers/
https://ieeexplore.ieee.org/xpl/conhome/10630852/proceeding

Publication series

NameProceedings - International Conference on Distributed Computing Systems
ISSN (Print)1063-6927
ISSN (Electronic)2575-8411

Conference

Conference44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024
Country/TerritoryUnited States
CityJersey City
Period23/07/2426/07/24
Internet address

Scopus Subject Areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

User-Defined Keywords

  • Collaborative Edge Computing
  • Energy Consumption
  • Fine-Grained Optimization
  • Service Lifetime

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