Research Topic

Computation Offloading for IoT Systems in Cloud-Edge Environments

About this Research Topic

With the development of Internet-of-Things (IoT) systems, various terminals (e.g., smartphones, wearable devices, and unmanned aerial vehicles) are being increasingly used in many scenarios. Typically, terminals have limited battery and resources (e.g., CPU computing power and storage space), and are less effective in intensive computation. To address limitations, researchers have proposed various computation offloading approaches that move computation from terminals either to a remote cloud or nearby edges. With their support, terminals can execute faster and more stably.

This Research Topic is devoted to the recent improvements over the state-of-the-art research on computation offloading technologies, especially under the scenario of IoTs. The continuous development of theories and practice unleashes the potential of terminals and compensates for the lack of computing capacity and limited battery power for IoT systems.

Topics of interest include but are not limited to:
• Optimization algorithms for offloading computing
• Delay or energy minimization for offloading computing
• Novel techniques and future perspectives
• 5G-enabled services for computation offloading
• Security and privacy issues for computation offloading
• Model and architecture design for computation offloading
• Computation and communication integration for computation offloading
• High-performance low-cost communication computation offloading
• Offloading for AI and advanced computation models


Keywords: offloading computing, Internet-of-Things (IoT), cloud computing, mobile edge computing (MEC), energy-efficient computation.


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

With the development of Internet-of-Things (IoT) systems, various terminals (e.g., smartphones, wearable devices, and unmanned aerial vehicles) are being increasingly used in many scenarios. Typically, terminals have limited battery and resources (e.g., CPU computing power and storage space), and are less effective in intensive computation. To address limitations, researchers have proposed various computation offloading approaches that move computation from terminals either to a remote cloud or nearby edges. With their support, terminals can execute faster and more stably.

This Research Topic is devoted to the recent improvements over the state-of-the-art research on computation offloading technologies, especially under the scenario of IoTs. The continuous development of theories and practice unleashes the potential of terminals and compensates for the lack of computing capacity and limited battery power for IoT systems.

Topics of interest include but are not limited to:
• Optimization algorithms for offloading computing
• Delay or energy minimization for offloading computing
• Novel techniques and future perspectives
• 5G-enabled services for computation offloading
• Security and privacy issues for computation offloading
• Model and architecture design for computation offloading
• Computation and communication integration for computation offloading
• High-performance low-cost communication computation offloading
• Offloading for AI and advanced computation models


Keywords: offloading computing, Internet-of-Things (IoT), cloud computing, mobile edge computing (MEC), energy-efficient computation.


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Topic Editors

Loading..

Submission Deadlines

31 August 2021 Abstract
31 December 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..

Topic Editors

Loading..

Submission Deadlines

31 August 2021 Abstract
31 December 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..
Loading..

total views article views article downloads topic views

}
 
Top countries
Top referring sites
Loading..