An approach for offloading in mobile cloud computing to optimize power consumption and processing time

Rakan Aldmour, Sufian Yousef, Thar Baker, Elhadj Benkhelifa

Research output: Contribution to journalArticlepeer-review

Abstract

Smart phones are widely used but they still suffer from constrained resources in term of their processing capabilities, memory capacity and battery capacity. Mobile Cloud Computing (MCC) has recently emerged to overcome the shortcomings of the standalone smartphones, where Cloud Computing (CC) is leveraged for processing capabilities and memory capacity, while the smartphone would use minimal battery power. However, task offloading from smartphones to the cloud remains an active area of research, to achieve optimized performance and resource utilization and enhance the overall Quality of Service (QoS). In this paper, we propose an approach where two servers are used alternatively, First Upload Round (FUR) offloading and Second Upload Round (SUR) offloading; both supported by a decision engine system. This approach shows better performance and less energy consumption over competing state-of-the-art approaches. The proposed approach shows reduction of the power consumption, 4G is the most improved, for example, for the file size 10 Mb the reduction of the power consumption was 93 % on 4G, compared to Wi-Fi 85 %.

Original languageEnglish
Article number100562
JournalSustainable Computing: Informatics and Systems
Volume31
DOIs
Publication statusPublished - 19 May 2021

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Inc.

Keywords

  • Cloudlet
  • Mobile cloud computing
  • Offloading power consumption
  • Processing time

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