Where Resources Meet at the Edge

Klervie Tocze; Simin Nadjm-Tehrani

doi:10.1109/CIT.2017.60

Where Resources Meet at the Edge

Klervie Tocze, Simin Nadjm-Tehrani

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Edge computing is a recent paradigm where network nodes are placed close to the end users, at the edge of the network. Efficient management of resources within this configuration is crucial due to scarcity and geographical spreading of edge resources. We begin by a brief description of the edge paradigm, the most generic edge architecture, and the terminology associated to it. Then, we propose and elaborate on a preliminary taxonomy for edge resource management, together with a substantial review of works in the area. Finally, we identify some research challenges.

Original language	English
Title of host publication	IEEE CIT 2017 - 17th IEEE International Conference on Computer and Information Technology
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	302-307
ISBN (Electronic)	9781538609583
DOIs	https://doi.org/10.1109/CIT.2017.60
Publication status	Published - 11 Sept 2017
Externally published	Yes
Event	17th IEEE International Conference on Computer and Information Technology, CIT 2017 - Helsinki, Finland Duration: 21 Aug 2017 → 23 Aug 2017

Conference

Conference	17th IEEE International Conference on Computer and Information Technology, CIT 2017
Country/Territory	Finland
City	Helsinki
Period	21/08/17 → 23/08/17

Funding

ACKNOWLEDGMENT This work was supported by the Swedish national graduate school in computer science (CUGS).

Funders	Funder number
National Graduate School in Computer Science

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10.1109/CIT.2017.60

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title = "Where Resources Meet at the Edge",

abstract = "Edge computing is a recent paradigm where network nodes are placed close to the end users, at the edge of the network. Efficient management of resources within this configuration is crucial due to scarcity and geographical spreading of edge resources. We begin by a brief description of the edge paradigm, the most generic edge architecture, and the terminology associated to it. Then, we propose and elaborate on a preliminary taxonomy for edge resource management, together with a substantial review of works in the area. Finally, we identify some research challenges.",

author = "Klervie Tocze and Simin Nadjm-Tehrani",

year = "2017",

month = sep,

day = "11",

doi = "10.1109/CIT.2017.60",

language = "English",

pages = "302--307",

booktitle = "IEEE CIT 2017 - 17th IEEE International Conference on Computer and Information Technology",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "17th IEEE International Conference on Computer and Information Technology, CIT 2017 ; Conference date: 21-08-2017 Through 23-08-2017",

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Tocze, K & Nadjm-Tehrani, S 2017, Where Resources Meet at the Edge. in IEEE CIT 2017 - 17th IEEE International Conference on Computer and Information Technology., 8031490, Institute of Electrical and Electronics Engineers Inc., pp. 302-307, 17th IEEE International Conference on Computer and Information Technology, CIT 2017, Helsinki, Finland, 21/08/17. https://doi.org/10.1109/CIT.2017.60

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N2 - Edge computing is a recent paradigm where network nodes are placed close to the end users, at the edge of the network. Efficient management of resources within this configuration is crucial due to scarcity and geographical spreading of edge resources. We begin by a brief description of the edge paradigm, the most generic edge architecture, and the terminology associated to it. Then, we propose and elaborate on a preliminary taxonomy for edge resource management, together with a substantial review of works in the area. Finally, we identify some research challenges.

AB - Edge computing is a recent paradigm where network nodes are placed close to the end users, at the edge of the network. Efficient management of resources within this configuration is crucial due to scarcity and geographical spreading of edge resources. We begin by a brief description of the edge paradigm, the most generic edge architecture, and the terminology associated to it. Then, we propose and elaborate on a preliminary taxonomy for edge resource management, together with a substantial review of works in the area. Finally, we identify some research challenges.

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DO - 10.1109/CIT.2017.60

M3 - Conference contribution

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BT - IEEE CIT 2017 - 17th IEEE International Conference on Computer and Information Technology

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE International Conference on Computer and Information Technology, CIT 2017

Y2 - 21 August 2017 through 23 August 2017

ER -

Where Resources Meet at the Edge

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