A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing

Joint Authors

Nadjm-Tehrani, Simin
Toczé, Klervie

Source

Wireless Communications and Mobile Computing

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-23, 23 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-06-04

Country of Publication

Egypt

No. of Pages

23

Main Subjects

Information Technology and Computer Science

Abstract EN

Edge computing is promoted to meet increasing performance needs of data-driven services using computational and storage resources close to the end devices at the edge of the current network.

To achieve higher performance in this new paradigm, one has to consider how to combine the efficiency of resource usage at all three layers of architecture: end devices, edge devices, and the cloud.

While cloud capacity is elastically extendable, end devices and edge devices are to various degrees resource-constrained.

Hence, an efficient resource management is essential to make edge computing a reality.

In this work, we first present terminology and architectures to characterize current works within the field of edge computing.

Then, we review a wide range of recent articles and categorize relevant aspects in terms of 4 perspectives: resource type, resource management objective, resource location, and resource use.

This taxonomy and the ensuing analysis are used to identify some gaps in the existing research.

Among several research gaps, we found that research is less prevalent on data, storage, and energy as a resource and less extensive towards the estimation, discovery, and sharing objectives.

As for resource types, the most well-studied resources are computation and communication resources.

Our analysis shows that resource management at the edge requires a deeper understanding of how methods applied at different levels and geared towards different resource types interact.

Specifically, the impact of mobility and collaboration schemes requiring incentives are expected to be different in edge architectures compared to the classic cloud solutions.

Finally, we find that fewer works are dedicated to the study of nonfunctional properties or to quantifying the footprint of resource management techniques, including edge-specific means of migrating data and services.

American Psychological Association (APA)

Toczé, Klervie& Nadjm-Tehrani, Simin. 2018. A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-23.
https://search.emarefa.net/detail/BIM-1216232

Modern Language Association (MLA)

Toczé, Klervie& Nadjm-Tehrani, Simin. A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-23.
https://search.emarefa.net/detail/BIM-1216232

American Medical Association (AMA)

Toczé, Klervie& Nadjm-Tehrani, Simin. A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-23.
https://search.emarefa.net/detail/BIM-1216232

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1216232