MECCA offloading cloud model over wireless interfaces for optimal power reduction and processing time

Rakan Aldmour; Sufian Yousef; Mohammad Yaghi; Georgios Kapogiannis

doi:10.1109/UIC-ATC.2017.8397639

MECCA offloading cloud model over wireless interfaces for optimal power reduction and processing time

Rakan Aldmour
, Sufian Yousef
, Mohammad Yaghi
, Georgios Kapogiannis

Department of Architecture and Built Environment

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

7 Citations (Scopus)

Abstract

In this paper, the power consumption and the processing time of smartphones are estimated locally and then compared with the power consumption and processing time when the smartphone executes heavy tasks by offloading on WLAN, 3G, and 4G mobile systems. Different scenarios were tested for different file sizes and wireless network interfaces. The main parameter of the quality of service is the time needed to process the file on the cloud versus the time needed to execute the file locally on the smartphone, as tested by the MECCA (Mobile Energy Cloud Computing algorithm) model. The optimal saving in energy consumption of the smartphone has reached around 90% over the 4G system, while maintaining an approximately similar range of time consumption for similar file sizes. The most important issue is to save time while serving the file. However, it is important, especially for the small nodes, to decrease the power consumption during serving big files, which is normally very high. The cost of the power consumption on smartphone, processing time, and file size for the core cloud and local node, are calculated to extract an immediate input to the processing decision. The Wi-Fi results showed very short processing times comparatively but resulted in very high energy consumption.

Original language	English
Title of host publication	2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-8
Number of pages	8
ISBN (Electronic)	9781538604342
DOIs	https://doi.org/10.1109/UIC-ATC.2017.8397639
Publication status	Published - 26 Jun 2018
Event	2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - San Francisco, United States Duration: 4 Apr 2017 → 8 Apr 2017

Publication series

Name	2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings

Conference

Conference	2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Country/Territory	United States
City	San Francisco
Period	4/04/17 → 8/04/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Free Keywords

Cloud Computing
Energy Consumption
Offloading
Processing time
Smartphones

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems
Information Systems and Management
Energy Engineering and Power Technology
Safety, Risk, Reliability and Quality
Urban Studies

Access to Document

10.1109/UIC-ATC.2017.8397639

Cite this

Aldmour, R., Yousef, S., Yaghi, M., & Kapogiannis, G. (2018). MECCA offloading cloud model over wireless interfaces for optimal power reduction and processing time. In 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings (pp. 1-8). (2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UIC-ATC.2017.8397639

Aldmour, Rakan ; Yousef, Sufian ; Yaghi, Mohammad et al. / MECCA offloading cloud model over wireless interfaces for optimal power reduction and processing time. 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-8 (2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings).

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Aldmour, R, Yousef, S, Yaghi, M & Kapogiannis, G 2018, MECCA offloading cloud model over wireless interfaces for optimal power reduction and processing time. in 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings. 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1-8, 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017, San Francisco, United States, 4/04/17. https://doi.org/10.1109/UIC-ATC.2017.8397639

MECCA offloading cloud model over wireless interfaces for optimal power reduction and processing time. / Aldmour, Rakan; Yousef, Sufian; Yaghi, Mohammad et al.
2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-8 (2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings).

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

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T1 - MECCA offloading cloud model over wireless interfaces for optimal power reduction and processing time

AU - Aldmour, Rakan

AU - Yousef, Sufian

AU - Yaghi, Mohammad

AU - Kapogiannis, Georgios

PY - 2018/6/26

Y1 - 2018/6/26

N2 - In this paper, the power consumption and the processing time of smartphones are estimated locally and then compared with the power consumption and processing time when the smartphone executes heavy tasks by offloading on WLAN, 3G, and 4G mobile systems. Different scenarios were tested for different file sizes and wireless network interfaces. The main parameter of the quality of service is the time needed to process the file on the cloud versus the time needed to execute the file locally on the smartphone, as tested by the MECCA (Mobile Energy Cloud Computing algorithm) model. The optimal saving in energy consumption of the smartphone has reached around 90% over the 4G system, while maintaining an approximately similar range of time consumption for similar file sizes. The most important issue is to save time while serving the file. However, it is important, especially for the small nodes, to decrease the power consumption during serving big files, which is normally very high. The cost of the power consumption on smartphone, processing time, and file size for the core cloud and local node, are calculated to extract an immediate input to the processing decision. The Wi-Fi results showed very short processing times comparatively but resulted in very high energy consumption.

AB - In this paper, the power consumption and the processing time of smartphones are estimated locally and then compared with the power consumption and processing time when the smartphone executes heavy tasks by offloading on WLAN, 3G, and 4G mobile systems. Different scenarios were tested for different file sizes and wireless network interfaces. The main parameter of the quality of service is the time needed to process the file on the cloud versus the time needed to execute the file locally on the smartphone, as tested by the MECCA (Mobile Energy Cloud Computing algorithm) model. The optimal saving in energy consumption of the smartphone has reached around 90% over the 4G system, while maintaining an approximately similar range of time consumption for similar file sizes. The most important issue is to save time while serving the file. However, it is important, especially for the small nodes, to decrease the power consumption during serving big files, which is normally very high. The cost of the power consumption on smartphone, processing time, and file size for the core cloud and local node, are calculated to extract an immediate input to the processing decision. The Wi-Fi results showed very short processing times comparatively but resulted in very high energy consumption.

KW - Cloud Computing

KW - Energy Consumption

KW - Offloading

KW - Processing time

KW - Smartphones

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M3 - Conference contribution

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T3 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017

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Aldmour R, Yousef S, Yaghi M, Kapogiannis G. MECCA offloading cloud model over wireless interfaces for optimal power reduction and processing time. In 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-8. (2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings). doi: 10.1109/UIC-ATC.2017.8397639

MECCA offloading cloud model over wireless interfaces for optimal power reduction and processing time

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

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Cite this