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Migrating running applications across mobile edge clouds: poster

Authors:

Theodoros SalonidisAuthors Info & Claims

MobiCom '16: Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking

Pages 435 - 436

https://doi.org/10.1145/2973750.2985265

Published: 03 October 2016 Publication History

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Abstract

Mobile edge clouds (MECs) are small cloud-like infrastructures deployed in close proximity to users, allowing users to have seamless and low-latency access to cloud services. When users move across different locations, their service applications often need to be migrated to follow the user so that the benefit of MEC is maintained. In this paper, we propose a layered framework for migrating running applications that are encapsulated either in virtual machines (VMs) or containers. We evaluate the migration performance of various real applications under the proposed framework.

References

[1]

S. Wang, R. Urgaonkar, M. Zafer, T. He, K. Chan, and K. K. Leung, "Dynamic service migration in mobile edge-clouds," in Proc. of IFIP Networking 2015, May 2015.

Google Scholar

[2]

K. Ha, Y. Abe, Z. Chen, W. Hu, B. Amos, P. Pillai, and M. Satyanarayanan, "Adaptive VM handoff across cloudlets," Technical Report CMU-CS-15-113, CMU School of Computer Science, Tech. Rep., 2015.

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Cited By

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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
Li JZhao DShi ZMeng LGaaloul WZhou Z(2024)Energy-Efficient Online Service Migration in Edge NetworksIEEE Internet of Things Journal10.1109/JIOT.2024.340670111:18(29689-29708)Online publication date: 15-Sep-2024
https://doi.org/10.1109/JIOT.2024.3406701
Xu LLiu WWang ZLuo JWang JMa Z(2024)Mobile-Aware Service Function Chain Intelligent Seamless Migration in Multi-access Edge ComputingJournal of Network and Systems Management10.1007/s10922-024-09820-032:3Online publication date: 18-May-2024
https://doi.org/10.1007/s10922-024-09820-0
Show More Cited By

Index Terms

Migrating running applications across mobile edge clouds: poster
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
2. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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Information

Published In

MobiCom '16: Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking

October 2016

532 pages

ISBN:9781450342261

DOI:10.1145/2973750

General Chairs:
Yingying Chen
Stevens Institute of Technology
,
Marco Gruteser
Rutgers University
,
Program Chairs:
Y. Charlie Hu
Purdue University, USA
,
Karthik Sundaresan
NEC Labs Princeton, USA

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 October 2016

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US Army Research Laboratory and the UK Ministry of Defense

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MobiCom'16

MobiCom'16: The 22nd Annual International Conference on Mobile Computing and Networking

October 3 - 7, 2016

New York, New York City

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MobiCom '16 Paper Acceptance Rate 31 of 226 submissions, 14%;

Overall Acceptance Rate 440 of 2,972 submissions, 15%

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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
Li JZhao DShi ZMeng LGaaloul WZhou Z(2024)Energy-Efficient Online Service Migration in Edge NetworksIEEE Internet of Things Journal10.1109/JIOT.2024.340670111:18(29689-29708)Online publication date: 15-Sep-2024
https://doi.org/10.1109/JIOT.2024.3406701
Xu LLiu WWang ZLuo JWang JMa Z(2024)Mobile-Aware Service Function Chain Intelligent Seamless Migration in Multi-access Edge ComputingJournal of Network and Systems Management10.1007/s10922-024-09820-032:3Online publication date: 18-May-2024
https://doi.org/10.1007/s10922-024-09820-0
Zhou XGe SChi JQiu TZhou XGe SChi JQiu T(2024)Service Migration in Industrial Edge ComputingIndustrial Edge Computing10.1007/978-981-97-4752-8_5(109-151)Online publication date: 27-Jun-2024
https://doi.org/10.1007/978-981-97-4752-8_5
Boulougaris GKolomvatsos K(2023)An Inference Mechanism for Proactive Service Migration at the EdgeIEEE Transactions on Network and Service Management10.1109/TNSM.2023.327458120:4(4505-4516)Online publication date: Dec-2023
https://doi.org/10.1109/TNSM.2023.3274581
Zhou XGe SQiu TLi KAtiquzzaman M(2023)Energy-Efficient Service Migration for Multi-User Heterogeneous Dense Cellular NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2021.308719822:2(890-905)Online publication date: 1-Feb-2023
https://doi.org/10.1109/TMC.2021.3087198
Kaur KGuillemin FSailhan F(2023)Live migration of containerized microservices between remote Kubernetes ClustersIEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFOCOMWKSHPS57453.2023.10225858(1-6)Online publication date: 20-May-2023
https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225858
Wu LLin XShi Y(2023)Research on Anycast Scheduling Algorithm in Edge Computing Networks6GN for Future Wireless Networks10.1007/978-3-031-36014-5_21(243-256)Online publication date: 8-Jul-2023
https://doi.org/10.1007/978-3-031-36014-5_21
Zhao JMa YXia YDai MChen PLong TShao SLi FLi YZeng F(2022)A Novel Fault-Tolerant Approach for Dynamic Redundant Path Selection Service Migration in Vehicular Edge ComputingApplied Sciences10.3390/app1219998712:19(9987)Online publication date: 4-Oct-2022
https://doi.org/10.3390/app12199987
Xing TBarbalace AOlivier PKaraoui MWang WRavindran B(2022)H-Container: Enabling Heterogeneous-ISA Container Migration in Edge ComputingACM Transactions on Computer Systems10.1145/352445239:1-4(1-36)Online publication date: 5-Jul-2022
https://dl.acm.org/doi/10.1145/3524452
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A Dynamic Service Migration Mechanism in Edge Cognitive Computing

All one needs to know about fog computing and related edge computing paradigms: A complete survey

Fast transparent virtual machine migration in distributed edge clouds

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