research-article

Accelerate service live migration in resource-limited edge computing systems

Authors:

Zhe Zhou,

Xintong Li,

Guangyu SunAuthors Info & Claims

SEC '19: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing

Pages 354 - 355

https://doi.org/10.1145/3318216.3363456

Published: 07 November 2019 Publication History

Get Access

Abstract

Service live migration in edge computing systems, which means migrating running services from one edge node to another with negligible cost of time, is becoming one of the cornerstones for various edge management tasks, such as task offloading, fault handling, load balancing and maintaining service continuity against users' mobility. However, due to the limited network bandwidth and computing resources, it is much more challenging to design and implement service live migration within an edge computing system. To overcome this challenge, we present an optimized flow to accelerate migration. Improvements are made from software, system and architecture aspects, which are expected to drastically reduce migration overheads and improve system efficiency.

References

[1]

Joseph Redmon and Ali Farhadi. 2018. YOLOv3: An Incremental Improvement. arXiv (2018).

Google Scholar

[2]

SNIA. [n. d.]. NVM Programming Model (NPM). https://www.snia.org/tech_activities/standards/curr_standards/npm

Google Scholar

[3]

Marvin Theimer, Keith A Lantz, and David R Cheriton. 1985. Preemptable remote execution facilities for the v-system. Technical Report.

Google Scholar

Cited By

View all

Rong CWang JWang JZhou YZhang J(2024)Live Migration of Video Analytics Applications in Edge ComputingIEEE Transactions on Mobile Computing10.1109/TMC.2023.324653923:3(2078-2092)Online publication date: Mar-2024
https://doi.org/10.1109/TMC.2023.3246539
Ortegat GGrolaux DRiviere EVanderdonckt J(2022)Engineering the Transition of Interactive Collaborative Software from Cloud Computing to Edge ComputingProceedings of the ACM on Human-Computer Interaction10.1145/35322106:EICS(1-31)Online publication date: 17-Jun-2022
https://dl.acm.org/doi/10.1145/3532210

Index Terms

Accelerate service live migration in resource-limited edge computing systems
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Maintainability and maintenance

Recommendations

Hardware-assisted service live migration in resource-limited edge computing systems
DAC '20: Proceedings of the 57th ACM/EDAC/IEEE Design Automation Conference

Service live migration means migrating the running services from one machine to another with negligible service downtime. It has been considered as a powerful mechanism to facilitate service management. However, conventional live migration methods ...
Live Migration of Multiple Virtual Machines with Resource Reservation in Cloud Computing Environments
CLOUD '11: Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing

Virtualization technology is currently becoming increasingly popular and valuable in cloud computing environments due to the benefits of server consolidation, live migration, and resource isolation. Live migration of virtual machines can be used to ...
Fast transparent virtual machine migration in distributed edge clouds
SEC '17: Proceedings of the Second ACM/IEEE Symposium on Edge Computing

Edge clouds are emerging as a popular paradigm of computation. In edge clouds, computation and storage can be distributed across a large number of locations, allowing applications to be hosted at the edge of the network close to the end-users. Virtual ...

Comments

Information & Contributors

Information

Published In

SEC '19: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing

November 2019

455 pages

ISBN:9781450367332

DOI:10.1145/3318216

General Chairs:
Songqing Chen
George Mason University
,
Ryokichi Onishi
Toyota
,
Program Chairs:
Ganesh Ananthanarayanan
Microsoft Research
,
Qun Li
College of William & Mary

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

IEEE-CS\DATC: IEEE Computer Society

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 November 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

SEC '19

Sponsor:

SIGMOBILE

SEC '19: The Fourth ACM/IEEE Symposium on Edge Computing

November 7 - 9, 2019

Virginia, Arlington

Acceptance Rates

SEC '19 Paper Acceptance Rate 20 of 59 submissions, 34%;

Overall Acceptance Rate 40 of 100 submissions, 40%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
342
Total Downloads

Downloads (Last 12 months)13
Downloads (Last 6 weeks)1

Reflects downloads up to 02 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Rong CWang JWang JZhou YZhang J(2024)Live Migration of Video Analytics Applications in Edge ComputingIEEE Transactions on Mobile Computing10.1109/TMC.2023.324653923:3(2078-2092)Online publication date: Mar-2024
https://doi.org/10.1109/TMC.2023.3246539
Ortegat GGrolaux DRiviere EVanderdonckt J(2022)Engineering the Transition of Interactive Collaborative Software from Cloud Computing to Edge ComputingProceedings of the ACM on Human-Computer Interaction10.1145/35322106:EICS(1-31)Online publication date: 17-Jun-2022
https://dl.acm.org/doi/10.1145/3532210

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Hardware-assisted service live migration in resource-limited edge computing systems

Live Migration of Multiple Virtual Machines with Resource Reservation in Cloud Computing Environments

Fast transparent virtual machine migration in distributed edge clouds

Comments

Information

Published In

Sponsors

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations