A Component Placement Mechanism for Latency-Constrained Applications in Cloud-Edge Environments

We propose a component placement mechanism for latency-constrained applications in a distributed system comprising mobile edge and cloud datacenters. It maximizes the achievable processing rate of requests of an application while satisfying the acceptable maximum end-to-end latency to process each request, by placing the components of the application to optimal locations. We evaluated it by simulation and confirmed that it can find an optimal placement according to given situations. As a case study, we applied the mechanism to a V2X application and confirmed its effectiveness.

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Publication Details

Journal
IEICE Transactions on Information and Systems
Published
2024-12-10
DOI
https://doi.org/10.1587/transinf.2024ntl0001
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
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article

A Component Placement Mechanism for Latency-Constrained Applications in Cloud-Edge Environments

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IEICE Transactions on Information and Systems
Distributed and Parallel Computing Systems
article

A Component Placement Mechanism for Latency-Constrained Applications in Cloud-Edge Environments

T. Seki, Mitsuhiro Kishimoto, Min Gan, Takahiro Hirofuchi, Ryousei Takano, M Kobayashi
article en

Abstract

We propose a component placement mechanism for latency-constrained applications in a distributed system comprising mobile edge and cloud datacenters. It maximizes the achievable processing rate of requests of an application while satisfying the acceptable maximum end-to-end latency to process each request, by placing the components of the application to optimal locations. We evaluated it by simulation and confirmed that it can find an optimal placement according to given situations. As a case study, we applied the mechanism to a V2X application and confirmed its effectiveness.

IEICE Transactions on Information and SystemsVol. E108.D(6)
SoftBank Group (Japan) (JP), National Institute of Advanced Industrial Science and Technology (JP)
Openalex Percentile: Top 74%
Distributed and Parallel Computing Systems
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