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 language | English |
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Title of host publication | Proceedings - 2024 IEEE 44th International Conference on Distributed Computing Systems, ICDCS 2024 |
Publisher | IEEE |
Pages | 565-576 |
Number of pages | 12 |
ISBN (Electronic) | 9798350386059 |
DOIs | |
Publication status | Published - 23 Jul 2024 |
Event | 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024 - Jersey City, United States Duration: 23 Jul 2024 → 26 Jul 2024 https://icdcs2024.icdcs.org/ https://icdcs2024.icdcs.org/accepted-papers/ https://ieeexplore.ieee.org/xpl/conhome/10630852/proceeding |
Publication series
Name | Proceedings - International Conference on Distributed Computing Systems |
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ISSN (Print) | 1063-6927 |
ISSN (Electronic) | 2575-8411 |
Conference
Conference | 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024 |
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Country/Territory | United States |
City | Jersey City |
Period | 23/07/24 → 26/07/24 |
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