EFFORT: Energy Efficient Framework for Offload Communication in Mobile Cloud Computing

Saif Ur Rehman Malik, Hina Akram, Sukhpal Singh Gill, Haris Pervaiz, HASSAN MALIK

Research output: Contribution to journalArticle (journal)peer-review

18 Citations (Scopus)
35 Downloads (Pure)


There is an abundant expansion in the race of technology, specifically in the production of data, because of the smart devices, such as mobile phones, smart cards, sensors, and Internet of Things (IoT). Smart phones and devices have undergone an enormous evolution in a way that they can be used. More and more new applications, such as face recognition, augmented reality, online interactive gaming, and natural language processing are emerging and attracting the users. Such applications are generally data intensive or compute intensive, which demands high resource and energy consumption. Mobile devices are known for the resource scarcity, having limited computational power and battery life. The tension between compute/data intensive application and resource constrained mobile devices hinders the successful adaption of emerging paradigms. In the said perspective, the objective of this paper is to study the role of computation offloading in mobile cloud computing to supplement mobile platforms ability in executing complex applications. This paper proposes a systematic approach (EFFORT) for offload communication in the cloud. The proposed approach provides a promising solution to partially solve energy consumption issue for communication-intensive applications in a smartphone. The experimental study shows that our proposed approach outperforms its counterparts in terms of energy consumption and fast processing of smartphone devices. The battery consumption was reduced to 19% and the data usage was reduced to 16%.
Original languageEnglish
Pages (from-to)1– 14
JournalSoftware - Practice and Experience
Early online date31 May 2020
Publication statusPublished - 31 May 2020


  • cloud computing
  • cloud service providers
  • energy consumption
  • I0T
  • Internet Spoofing
  • offload computing


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