research-article

Semantic virtualization for Edge-IoT cloud: issues and challenges

Authors:

Byoungheon Shin,

Dongman LeeAuthors Info & Claims

CAN '17: Proceedings of the 2nd Workshop on Cloud-Assisted Networking

Pages 55 - 60

https://doi.org/10.1145/3155921.3157052

Published: 11 December 2017 Publication History

Abstract

It is well expected that a collection of smart objects such as IoT devices dynamically form an edge cloud allowing acquiring, storing, communicating, and processing of information done at the edge of the network. Edge cloud workers (i.e. IoT devices) usually have service specific characteristics while legacy cloud workers are more computing oriented. However, existing cloudlet architectures continue to take their allocation policy centered around computation resource virtualization without considering such characteristics of edge IoT clouds. In order to provide service specific QoS driven virtualization of an edge IoT cloud, which we call semantic virtualization, a new approach is required. In this paper, we investigate research issues and directions for realizing semantic virtualization for an edge IoT cloud.

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Cited By

Lee DJang SShin BLee Y(2019)Towards Dynamically Reconfigurable IoT Camera Virtualization for Video Analytics Edge Cloud ServicesIEEE Internet Computing10.1109/MIC.2019.289387223:4(10-17)Online publication date: 1-Jul-2019
https://doi.org/10.1109/MIC.2019.2893872
Jang SLee YShin BLee D(2018)Towards Application-Aware Virtualization for Edge IoT CloudsProceedings of the 13th International Conference on Future Internet Technologies10.1145/3226052.3226059(1-4)Online publication date: 20-Jun-2018
https://dl.acm.org/doi/10.1145/3226052.3226059
Jang SLee YShin BLee D(2018)Application-Aware IoT Camera Virtualization for Video Analytics Edge Computing2018 IEEE/ACM Symposium on Edge Computing (SEC)10.1109/SEC.2018.00017(132-144)Online publication date: Oct-2018
https://doi.org/10.1109/SEC.2018.00017
Show More Cited By

Index Terms

Semantic virtualization for Edge-IoT cloud: issues and challenges
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 design and evaluation methods

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Published In

cover image ACM Conferences

CAN '17: Proceedings of the 2nd Workshop on Cloud-Assisted Networking

December 2017

53 pages

ISBN:9781450354233

DOI:10.1145/3155921

General Chairs:
Puneet Sharma
Hewlett Packard Labs
,
Jinho Hwang
IBM T.J. Watson Research Center

Copyright © 2017 ACM.

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].

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New York, NY, United States

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Published: 11 December 2017

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CoNEXT '17

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SIGCOMM

CoNEXT '17: The 13th International Conference on emerging Networking EXperiments and Technologies

December 11 - 12, 2017

Incheon, Republic of Korea

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Cited By

Lee DJang SShin BLee Y(2019)Towards Dynamically Reconfigurable IoT Camera Virtualization for Video Analytics Edge Cloud ServicesIEEE Internet Computing10.1109/MIC.2019.289387223:4(10-17)Online publication date: 1-Jul-2019
https://doi.org/10.1109/MIC.2019.2893872
Jang SLee YShin BLee D(2018)Towards Application-Aware Virtualization for Edge IoT CloudsProceedings of the 13th International Conference on Future Internet Technologies10.1145/3226052.3226059(1-4)Online publication date: 20-Jun-2018
https://dl.acm.org/doi/10.1145/3226052.3226059
Jang SLee YShin BLee D(2018)Application-Aware IoT Camera Virtualization for Video Analytics Edge Computing2018 IEEE/ACM Symposium on Edge Computing (SEC)10.1109/SEC.2018.00017(132-144)Online publication date: Oct-2018
https://doi.org/10.1109/SEC.2018.00017
Yamakami T(2018)An Experimental Implementation of an Edge-based AI Engine with Edge-Cloud Coordination2018 18th International Symposium on Communications and Information Technologies (ISCIT)10.1109/ISCIT.2018.8587931(442-446)Online publication date: Sep-2018
https://doi.org/10.1109/ISCIT.2018.8587931

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