Remote cloud vs local mobile cloud: a quantitative analysis

Muhammad Usman, Ameera Akhtar, Marwa Qaraqe, Fabrizio Granelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


The smartphones have evolved a lot during recent years. However, they are still limited in their battery time, computational power and storage space. Mobile Cloud Computing (MCC) has emerged as a promising solution that aims to augment smartphone's capabilities by providing a vast pool of computational power and storage space at cloud data center. In parallel to this, cooperation based computing is a recent concept in MCC that augments smartphone's capabilities by accumulating the computational resources of nearby devices to run a task. In this paper, we discuss different scenarios of computational offloading for a User Equipment (UE) and find an optimal option in terms of its energy consumption and task completion time. In particular, we compare the energy consumption and task completion time of a mobile application for local processing, offloading to a remote cloud and exploiting the cooperation based computing in the local Mobile Cloud (MC).We mark an offloading threshold for different offloading scenarios, so a UE can decide among offloading to a local MC or to a remote cloud, depending upon the size of the task it is offloading.
Original languageEnglish
Title of host publication2018 IEEE Global Communications Conference (GLOBECOM)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538647271
ISBN (Print)9781538647288
Publication statusPublished - 21 Feb 2019
Event 2018 IEEE Global Communications Conference - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018 (Link to conference website)

Publication series

ISSN (Print)1930-529X
ISSN (Electronic)2576-6813


Conference 2018 IEEE Global Communications Conference
Abbreviated titleIEEE GLOBECOM 2018
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Internet address


  • mobile cloud computing
  • mobile clouds
  • D2D communication
  • 5G networks
  • computational offloading
  • cloud services
  • energy efficiency
  • spectrum efficiency
  • cooperative networks
  • cooperation based computing


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