ReSeT: Reducing the Service Disruption Time of Follow Me Edges over Wide Area Networks

Jeong, Jin Hyeok; Ha, Jaehee; Kim, Myungchul

doi:10.1109/icin.2019.8685918

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…Downtime occurs when a VM or container is unavailable during migration while a device is handed off from one edge node to the next [23]. Downtime caused by VM/container migrations lies in the range of seconds to minutes [15], [24]- [30]. The delay is strongly affected by the amount of downtime and page faults [31], [32].…”

Section: Introductionmentioning

confidence: 99%

Multi-Microservice Migration Modeling, Comparison, and Potential in 5G/6G Mobile Edge Computing: A Non-Average Parameter Values Approach

Rezazadeh,

Lutfiyya

2023

IEEE Access

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Cloud, fog, and edge computing integration with future mobile Internet-of-Things (IoT) devices and related applications in 5G/6G networks will become more practical in the coming years. Containers became the de facto virtualization technique that replaced Virtual Memory (VM). Mobile IoT applications, e.g., intelligent transportation and augmented reality, incorporating fog-edge, have increased the demand for a millisecond-scale response and processing time. Edge Computing reduces remote network traffic and latency. These services must run on edge nodes that are physically close to devices. However, classical migration techniques may not meet the requirements of future mission-critical IoT applications. IoT mobile devices have limited resources for running multiple services, and client-server latency worsens when fog-edge services must migrate to maintain proximity in light of device mobility. This study analyzes the performance of the MiGrror migration method and the pre-copy live migration method when the migration of heterogeneous multiple VMs/containers is considered. This paper presents mathematical models for the stated methods and provides migration guidelines and comparisons for services to be implemented as multiple containers, as in microservice-based environments. Experiments demonstrate that MiGrror outperforms the pre-copy technique and, unlike conventional live migrations, can maintain less than 10 milliseconds of downtime and reduce migration time with a minimal bandwidth overhead. The results show that MiGrror can improve service continuity and availability for users. Most significant is that the model can use average and non-average values for different parameters during migration to achieve improved and more accurate results, while other research typically only uses average values. This paper shows that using only average parameter values in migration can lead to inaccurate results.

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Section: Introductionmentioning

confidence: 99%

Multi-Microservice Migration Modeling, Comparison, and Potential in 5G/6G Mobile Edge Computing: A Non-Average Parameter Values Approach

Rezazadeh,

Lutfiyya

2023

IEEE Access

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show abstract

“…Downtime occurs when a VM or container is unavailable during migration while a device is handed off from one edge node to the next [23]. Downtime caused by VM/container migrations lies in the range of seconds to minutes [15,[24][25][26][27][28][29][30]. The delay is strongly affected by the amount of downtime and page faults [31,32].…”

Section: Introductionmentioning

confidence: 99%

MiGrror: Mitigating Downtime in Mobile Edge Computing, An Extension to Live Migration

Rezazadeh

Abednezhad²,

Lutfiyya

2022

Procedia Computer Science

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A QoE-Aware Strategy for Supporting Service Continuity in an MCC Environment

Haung

2020

Wireless Pers Commun

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ReSeT: Reducing the Service Disruption Time of Follow Me Edges over Wide Area Networks

Cited by 5 publications

References 18 publications

Multi-Microservice Migration Modeling, Comparison, and Potential in 5G/6G Mobile Edge Computing: A Non-Average Parameter Values Approach

Multi-Microservice Migration Modeling, Comparison, and Potential in 5G/6G Mobile Edge Computing: A Non-Average Parameter Values Approach

MiGrror: Mitigating Downtime in Mobile Edge Computing, An Extension to Live Migration

A QoE-Aware Strategy for Supporting Service Continuity in an MCC Environment

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