H-STEP: Heuristic Stable Edge Service Entity Placement for Mobile Virtual Reality Systems

Virtual reality (VR) technology, as a latency-sensitive application, can achieve real-time response to enhance the user’s quality of experience (QoE) on edge devices. However, edge servers, unlike internally managed cloud servers, are prone to hardware failures, software abnormalities, and network attacks. Most prior studies have focused on reducing service delay and improving user coverage through service entity (SE) placement, often neglecting the critical impact of edge server malfunctions on user QoE. In this work, we design a stable service entity placement framework that connects users on faulty servers to collaborative edge servers, ensuring seamless task completion. This framework presents two primary challenges: determining the grouping of collaborative edge services and the placement of SEs. To address these challenges, we introduce a heuristic stable service entity placement (H-STEP) scheme. This scheme first determines the grouping of collaborative edge servers using an iterative search algorithm and then places SEs on suitable edge servers via a fast non-dominated sorting genetic placement algorithm. This approach balances stability benefits with total cost, enhancing the system’s economic benefits. We theoretically analyze the performance of H-STEP and derive the performance gap between H-STEP and the optimal scheme. Extensive real-data-driven simulations demonstrate that H-STEP’s performance closely approximates that of the optimal scheme and surpasses existing schemes.

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Publication Details

Journal
IEEE Transactions on Mobile Computing
Published
2025-03-06
DOI
https://doi.org/10.1109/tmc.2025.3548703
Citations
6
Primary Topic
Peer-to-Peer Network Technologies
Type
article
Field-Weighted Citation Impact
8.92
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article

H-STEP: Heuristic Stable Edge Service Entity Placement for Mobile Virtual Reality Systems

Honglong Chen, Dongxiao Yu, Zhichen Ni, Xuejian Chi et al.
6 citations
IEEE Transactions on Mobile Computing
Peer-to-Peer Network Technologies
8.92
article

H-STEP: Heuristic Stable Edge Service Entity Placement for Mobile Virtual Reality Systems

Honglong Chen, Dongxiao Yu, Zhichen Ni, Xuejian Chi, Peng Sun, Haiyang Sun
article en
6 citations

Abstract

Virtual reality (VR) technology, as a latency-sensitive application, can achieve real-time response to enhance the user’s quality of experience (QoE) on edge devices. However, edge servers, unlike internally managed cloud servers, are prone to hardware failures, software abnormalities, and network attacks. Most prior studies have focused on reducing service delay and improving user coverage through service entity (SE) placement, often neglecting the critical impact of edge server malfunctions on user QoE. In this work, we design a stable service entity placement framework that connects users on faulty servers to collaborative edge servers, ensuring seamless task completion. This framework presents two primary challenges: determining the grouping of collaborative edge services and the placement of SEs. To address these challenges, we introduce a heuristic stable service entity placement (H-STEP) scheme. This scheme first determines the grouping of collaborative edge servers using an iterative search algorithm and then places SEs on suitable edge servers via a fast non-dominated sorting genetic placement algorithm. This approach balances stability benefits with total cost, enhancing the system’s economic benefits. We theoretically analyze the performance of H-STEP and derive the performance gap between H-STEP and the optimal scheme. Extensive real-data-driven simulations demonstrate that H-STEP’s performance closely approximates that of the optimal scheme and surpasses existing schemes.

IEEE Transactions on Mobile ComputingVol. 24(8)
Hunan University (CN), China University of Petroleum, East China (CN), Shandong University of Science and Technology (CN)
Openalex Percentile: Top 3%
Peer-to-Peer Network Technologies
8.92
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