Mobile Edge Computing and Mobile Cloud Computing: Addressing Heterogeneity and Energy Issues of Compute and Network Resources

Submission Deadline: 30 July 2019

IEEE Access invites manuscript submissions in the area of Mobile Edge Computing and Mobile Cloud Computing: Addressing Heterogeneity and Energy Issues of Compute and Network Resources.

Mobile applications are advancing towards higher network and computation requirements which are similar to the requirements of server applications. Users prefer to perform their tasks on mobile devices instead of stationary desktop and server systems. Modern mobile applications are limited by the battery since high processing and data demands drain the batter quickly. Other resources are also limited in mobile devices such as Memory, CPU time, etc.). Mobile Edge Computing (MEC) is a paradigm that facilitates resource-scarce mobile devices to enhance their capabilities and execute data/computation-intensive applications while collaborating with resource-rich network servers to enable ubiquitous computing. Mobile Cloud Computing also provides more resources for applications that have low response requirements (non-interactive applications). Both mobile edge computing and mobile cloud computing are enabling paradigms for Internet of Things (IoT), smart grids, and e-health applications.

Smartphone applications rely on offloading techniques to leverage high-performance computing opportunities available on edge and cloud servers. Two main research challenges arise due to the heterogeneity of network and compute resources. Computation resources are unable to execute offloading and collaborative tasks without consideration of heterogeneity. The heterogeneity of computer resources can be in the form of architecture (ARM, Intel), processing power, and network capabilities. To address these issues, solutions based on application and system virtualization need to be proposed. In addition, the network heterogeneity results in varying radio capabilities for the end devices. Network access and collaboration algorithms need to consider this heterogeneity for optimal performance of applications executing on end devices. Moreover, energy is a persistent issue for most of the computing applications. Energy optimization techniques in mobile edge and mobile cloud computing can help mobile devices function longer without draining the users’ batteries.


The topics of interest include, but are not limited to:

  • Energy efficient edge computing
  • Heterogeneous resource management in edge networks
  • Smart caching
  • Edge content placement and delivery
  • D2D communication for content delivery
  • Edge content popularity prediction
  • Multi-platform computation frameworks
  • Collaborative caching


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Associate Editor:  Muhammad Khurram Khan, King Saud University, Saudi Arabia

Guest Editors:

  1. Junaid Shuja, Comsats University Islamabad, Pakistan
  2. Yaser Jararweh, Jordan University of Science and Technology, Jordan
  3. Guanding Yu, Zhejiang University, China
  4. Mohsen Guizani, University of Idaho, USA
  5. Christos Verikoukis, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain
  6. Raja Wasim Ahmad, Comsats University Islamabad, Pakistan


Relevant IEEE Access Special Sections:

  1. Towards Service-Centric Internet of Things (IoT): From Modeling to Practice
  2. Collaboration for Internet of Things
  3. Mobile Edge Computing

IEEE Access Editor-in-Chief:
  Derek Abbott, Professor, University of Adelaide

Paper submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: mkhurram@KSU.EDU.SA.