A Survey on Edge Performance Benchmarking

Author:

Varghese Blesson1ORCID,Wang Nan2,Bermbach David3,Hong Cheol-Ho4ORCID,Lara Eyal De5,Shi Weisong6,Stewart Christopher7

Affiliation:

1. Queen’s University Belfast, Belfast, UK

2. Durham University, Durham, UK

3. TU Berlin and ECDF, Berlin, Germany

4. Chung-Ang University, Seoul, South Korea

5. University of Toronto, Toronto, Ontario, Canada

6. Wayne State University, MI, USA

7. Ohio State University, Columbus, OH, USA

Abstract

Edge computing is the next Internet frontier that will leverage computing resources located near users, sensors, and data stores to provide more responsive services. Therefore, it is envisioned that a large-scale, geographically dispersed, and resource-rich distributed system will emerge and play a key role in the future Internet. However, given the loosely coupled nature of such complex systems, their operational conditions are expected to change significantly over time. In this context, the performance characteristics of such systems will need to be captured rapidly, which is referred to as performance benchmarking, for application deployment, resource orchestration, and adaptive decision-making. Edge performance benchmarking is a nascent research avenue that has started gaining momentum over the past five years. This article first reviews articles published over the past three decades to trace the history of performance benchmarking from tightly coupled to loosely coupled systems. It then systematically classifies previous research to identify the system under test, techniques analyzed, and benchmark runtime in edge performance benchmarking.

Funder

Rakuten Mobile, Japan

Korea government

National Research Foundation of Korea

Royal Society Short Industry Fellowship

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference166 articles.

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