Image Recognition Task Execution Times in Mobile Edge Computing

Donated on 8/14/2023

Recorded task execution times for four Edge Servers submitted by edge node; node sends images to servers for image recognition tasks. The servers perform the tasks and return the results to nodes.

Dataset Characteristics

Sequential, Time-Series

Subject Area

Computer Science

Associated Tasks

Regression

Feature Type

Real

# Instances

4000

# Features

2

Dataset Information

Additional Information

This dataset contains the turnaround execution times (in seconds) for offloaded image recognition tasks when executed in different edge servers. The edge servers are MacBook Pro Processor: 1.4 GHz Quad-Core Intel Core i5 RAM: 8 GB 2133 MHz LPDDR3, MacBook Pro Processor: 2.5 GHz Dual-Core Intel Core i5 RAM: 8 GB 1600 MHz DDR3, Ubuntu VM Using VirtualBox RAM: 2 GB and Raspberry Pi 4B Processor: a quad-core 64-bit ARM Cortex-A72 CPU RAM: 4Gb. The client (mobile edge node) was simulated as a process in one of these devices. The client sends an image to be recognized by one of the servers above, i.e. server. The turnaround execution time is the time duration once the connection is established (when the edge node starts sending the image) until it receives the recognition result from the edge server. The execution time is recorded for each edge server.

Has Missing Values?

No

Introductory Paper

Time-Optimized Task Offloading Decision Making in Mobile Edge Computing

By Ibrahim A. Alghamdi, C. Anagnostopoulos, D. Pezaros. 2019

Published in Wireless Days

Variable Information

[1] Time: day, date, hours, minutes, second, year. [2] Turnaround Task Execution time: in seconds.

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1 citations
5683 views

Keywords

image processing

Creators

Ibrahim Alghamdi

i.alghamdi.1@research.gla.ac.uk

Christos Anagnostopoulos

christos.anagnostopoulos@glasgow.ac.uk

Dimitrios Pezaros

dimitrios.pezaros@glasgow.ac.uk

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