research-article

Free access

CESSNA: Resilient Edge-Computing

Authors:

Yotam Harchol,

Aisha Mushtaq,

James McCauley,

Aurojit Panda, and

Scott ShenkerAuthors Info & Claims

MECOMM'18: Proceedings of the 2018 Workshop on Mobile Edge Communications

August 2018

Pages 1 - 6

https://doi.org/10.1145/3229556.3229558

Published: 07 August 2018 Publication History

PDF eReader

Abstract

The introduction of computational resources at the network edge has moved us from a Client-Server model to a Client-Edge-Server model. By offloading computation from clients and/or servers, this approach can reduce response latency, backbone bandwidth, and computational requirements on clients. While this is an attractive paradigm for many applications, particularly 5G mobile networks and IoT devices, it raises the question of how one can design such a client-edge-server system to tolerate edge failures and client mobility. The key challenge is to ensure correctness when the edge processing is stateful (so the processing depends on state it has previously seen from the client and/or server). In this paper we propose an initial design for meeting this challenge called Client-Edge-Server for Stateful Network Applications (CESSNA).

References

[1]

G. Ananthanarayanan, P. Bahl, P. Bodík, K. Chintalapudi, M. Philipose, L. Ravindranath, and S. Sinha. Real-time video analytics: The killer app for edge computing. Computer, 50(10):58--67, 2017.

Digital Library

Google Scholar

[2]

T. C. Bressoud and F. B. Schneider. Hypervisor-based fault-tolerance. In SOSP, 1995.

Digital Library

Google Scholar

[3]

J. Corbet. Checkpoint/restart in userspace. LWN https://lwn.net/Articles/572125/,2013.

Google Scholar

[4]

V. Cozzolino, A. Y. Ding, and J. Ott. FADES: Fine-grained edge offloading with unikernels. In HotConNet, pages 36--41, 2017.

Digital Library

Google Scholar

[5]

B. Cully, G. Lefebvre, D. T. Meyer, M. Feeley, N. C. Hutchinson, and A. Warfield. Remus: High availability via asynchronous virtual machine replication. In NSDI, 2008.

Digital Library

Google Scholar

[6]

Docker checkpoint and restore. https://github.com/docker/cli/blob/master/experimental/checkpoint-restore.md, 2018.

Google Scholar

[7]

Y. Dong, W. Ye, Y. Jiang, I. Pratt, S. Ma, J. Li, and H. Guan. COLO: coarse-grained lock-stepping virtual machines for non-stop service. In SOCC, 2013.

Digital Library

Google Scholar

[8]

G. W. Dunlap, D. G. Lucchetti, M. A. Fetterman, and P. M. Chen. Execution replay of multiprocessor virtual machines. In VEE, 2008.

Digital Library

Google Scholar

[9]

E. N. Elnozahy, L. Alvisi, Y. Wang, and D. B. Johnson. A survey of rollback-recovery protocols in message-passing systems. ACM Comput. Surv., 34(3), 2002.

Digital Library

Google Scholar

[10]

B. I. Ismail, E. M. Goortani, M. B. A. Karim, W. M. Tat, S. Setapa, J. Y. Luke, and O. H. Hoe. Evaluation of docker as edge computing platform. In 2015 IEEE Conference on Open Systems (ICOS), Aug 2015.

Crossref

Google Scholar

[11]

OpenFog Consortium Architecture Working Group. OpenFog Reference Architecture for Fog Computing, Feb. 2017. https://www.openfogconsortium.org/ra/.

Google Scholar

[12]

J. Sherry, P. X. Gao, S. Basu, A. Panda, A. Krishnamurthy, C. Maciocco, M. Manesh, J. Martins, S. Ratnasamy, L. Rizzo, and S. Shenker. Rollback-recovery for middle-boxes. In Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, SIGCOMM 2015, London, United Kingdom, August 17-21, 2015, 2015.

Digital Library

Google Scholar

[13]

I. Zhang, T. Denniston, Y. Baskakov, and A. Garthwaite. Optimizing vm checkpointing for restore performance in vmware esxi. In USENIX Annual Technical Conference, 2013.

Digital Library

Google Scholar

Cited By

View all

Pourreza MNarasimhan P(2023)Fault Tolerant Edge Computing: Challenges and Opportunities2023 IEEE 7th International Conference on Fog and Edge Computing (ICFEC)10.1109/ICFEC57925.2023.00018(73-80)Online publication date: 1-May-2023
https://doi.org/10.1109/ICFEC57925.2023.00018
Dadashi MRajabzadeh A(2023)DAIP: a delay-efficient and availability-aware IoT application placement in fog environmentsComputing10.1007/s00607-022-01142-w105:9(2007-2035)Online publication date: 28-Jan-2023
https://doi.org/10.1007/s00607-022-01142-w
Alslie JOvesen ANordmo TJohansen HHalvorsen PRiegler MJohansen D(2022)Áika: A Distributed Edge System for AI InferenceBig Data and Cognitive Computing10.3390/bdcc60200686:2(68)Online publication date: 17-Jun-2022
https://doi.org/10.3390/bdcc6020068
Show More Cited By

Index Terms

CESSNA: Resilient Edge-Computing
1. Networks
  1. Network architectures
    1. Programming interfaces
  2. Network properties
    1. Network mobility
    2. Network reliability

Recommendations

Performance evaluation of new methods of automatic redirection for load balancing of Apache servers distributed in the Internet
LCN '00: Proceedings of the 25th Annual IEEE Conference on Local Computer Networks

An overloaded web server will lose incoming requests resulting in a "404 error" appearing at a client browser. Front-end application-level switches can redirect requests to less loaded servers. However, there exist no native methods within common web ...
Read More
Comparing DNS resolvers in the wild
IMC '10: Proceedings of the 10th ACM SIGCOMM conference on Internet measurement

The Domain Name System (DNS) is a fundamental building block of the Internet. Today, the performance of more and more applications depend not only on the responsiveness of DNS, but also the exact answer returned by the queried DNS resolver, e.g., for ...
Read More
Resolvers Revealed: Characterizing DNS Resolvers and their Clients

The Domain Name System (DNS) allows clients to use resolvers, sometimes called caches, to query a set of authoritative servers to translate host names into IP addresses. Prior work has proposed using the interaction between these DNS resolvers and the ...
Read More

Comments

Information & Contributors

Information

Published In

MECOMM'18: Proceedings of the 2018 Workshop on Mobile Edge Communications

August 2018

56 pages

ISBN:9781450359061

DOI:10.1145/3229556

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 the author(s) 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].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 August 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article
Research
Refereed limited

Conference

SIGCOMM '18

Sponsor:

SIGCOMM

SIGCOMM '18: ACM SIGCOMM 2018 Conference

August 20, 2018

Budapest, Hungary

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
1,226
Total Downloads

Downloads (Last 12 months)94
Downloads (Last 6 weeks)5

Other Metrics

View Author Metrics

Citations

Cited By

View all

Pourreza MNarasimhan P(2023)Fault Tolerant Edge Computing: Challenges and Opportunities2023 IEEE 7th International Conference on Fog and Edge Computing (ICFEC)10.1109/ICFEC57925.2023.00018(73-80)Online publication date: 1-May-2023
https://doi.org/10.1109/ICFEC57925.2023.00018
Dadashi MRajabzadeh A(2023)DAIP: a delay-efficient and availability-aware IoT application placement in fog environmentsComputing10.1007/s00607-022-01142-w105:9(2007-2035)Online publication date: 28-Jan-2023
https://doi.org/10.1007/s00607-022-01142-w
Alslie JOvesen ANordmo TJohansen HHalvorsen PRiegler MJohansen D(2022)Áika: A Distributed Edge System for AI InferenceBig Data and Cognitive Computing10.3390/bdcc60200686:2(68)Online publication date: 17-Jun-2022
https://doi.org/10.3390/bdcc6020068
Junior FKamienski C(2021)A Survey on Trustworthiness for the Internet of ThingsIEEE Access10.1109/ACCESS.2021.30664579(42493-42514)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3066457
Cai LWei XXing CZou XZhang GWang X(2021)Failure-resilient DAG task scheduling in edge computingComputer Networks10.1016/j.comnet.2021.108361(108361)Online publication date: Aug-2021
https://doi.org/10.1016/j.comnet.2021.108361
Wu ZYan ZHuang DKuang J(2021)An approach for discovery and scheduling replaceable service on edge environmentNeural Computing and Applications10.1007/s00521-021-05862-6Online publication date: 19-Apr-2021
https://doi.org/10.1007/s00521-021-05862-6
Georgiou ZGeorgiou CPallis GSchiller ETrihinas D(2020)A Self-stabilizing Control Plane for Fog Ecosystems2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)10.1109/UCC48980.2020.00021(13-22)Online publication date: Dec-2020
https://doi.org/10.1109/UCC48980.2020.00021
Li GDong MYang LOta KWu JLi J(2020)Preserving Edge Knowledge Sharing Among IoT Services: A Blockchain-Based ApproachIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2019.29525874:5(653-665)Online publication date: Oct-2020
https://doi.org/10.1109/TETCI.2019.2952587
Sun HYu HFan GChen L(2020)QoS-Aware Task Placement With Fault-Tolerance in the Edge-CloudIEEE Access10.1109/ACCESS.2020.29770898(77987-78003)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2977089

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

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

Cited By

Index Terms

Recommendations

Performance evaluation of new methods of automatic redirection for load balancing of Apache servers distributed in the Internet

Comparing DNS resolvers in the wild

Resolvers Revealed: Characterizing DNS Resolvers and their Clients

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Conference

Other Metrics

Article Metrics

Other Metrics

Cited By

PDF

eReader

Login options

Full Access

Abstract

References

Cited By

Index Terms

Recommendations

Performance evaluation of new methods of automatic redirection for load balancing of Apache servers distributed in the Internet

Comparing DNS resolvers in the wild

Resolvers Revealed: Characterizing DNS Resolvers and their Clients

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Get Access

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations